no subject (file transmission)
Jonathan Baxter
Jon.Baxter at keating.anu.edu.au
Mon Nov 9 17:29:03 EST 1998
*********************** NIPS*98 FINAL PROGRAM **********************
My apologies if you receive this notice more than once.
Jonathan Baxter
********************************************************************
SUN NOV 29
----------
18:00-22:00 Registration
MON NOV 30
----------
08:30-18:00 Registration
09:30-17:30 Tutorials
18:30 Reception and Conference Banquet
20:30 The laws of the WEB (Banquet talk)
B. Huberman
Xerox PARC
TUE DEC 1
---------
Oral Session 1:
08:30 Statistics of visual images: neural representation and synthesis
(Invited)
E. Simoncelli
New York University
09:20 Attentional modulation of human pattern discrimination
psychophysics reproduced by a quantitative model
(VS1, Oral)
L. Itti, J. Braun, D. Lee, C. Koch
California Institute of Technology
09:40 Orientation, scale, and discontinuity as emergent
properties of illusory contour shape
(VS2, Oral)
K. Thornber, L. Williams
NEC Research Institute, University of New Mexico
10:00 DTs: dynamic trees
(AA1, Spotlight)
C. Williams, N. Adams
Aston University
Modeling stationary and integrated time series with
autoregressive neural networks
(LT1, Spotlight)
F. Leisch, A. Trapletti, K. Hornik
Technical University of Vienna
Analog neural nets with Gaussian or other common noise
distributions cannot recognize arbitrary regular languages
(LT2, Spotlight)
W. Maass, E. Sontag
Technical University of Graz, Rutgers University
Semiparametric support vector and linear programming machines
(AA8, Spotlight)
A. Smola, T. Friess, B. Schoelkopf
GMD FIRST
Blind separation of filtered source using state-space approach
(AA13, Spotlight)
L. Zhang, A. Cichocki
RIKEN Brain Science Institute
10:15-11:00 Break
Oral Session 2:
11:00 The bias-variance tradeoff and the randomized GACV
(AA4, Oral)
G. Wahba, X. Lin, F. Gao, D. Xiang, R. Klein, B. Klein
University of Wisconsin-Madison, SAS Institute
11:20 Kernel PCA and de-noising in feature spaces
(AA7, Oral)
S. Mika, B. Schoelkopf, A. Smola, K. Mueller, M Scholz, G. Raetsch
GMD FIRST
11:40 Sparse code shrinkage: denoising by maximum likelihood estimation
(AA12, Oral)
A. Hyvaarinen, P. Hoyer, E. Oja
Helsinki University of Technology
12:00-14:00 Lunch
Oral Session 3:
14:00 Temporally asymmetric Hebbian learning, spike timing
and neuronal response variability
(Invited)
L. Abbott
Brandeis University
14:50 Information maximization in single neurons
(NS1, Oral)
M. Stemmler, C. Koch
California Institute of Technology
15:10 Multi-electrode spike sorting by clustering transfer functions
(NS2, Oral)
D. Rinberg, H. Davidowitz, N. Tishby
NEC Research Institute
15:30 Distributional population codes and multiple motion models
(NS3, Spotlight)
R. Zemel, P. Dayan
University of Arizona, Massachusetts Institute of Technology
Population coding with correlated noise
(NS4, Spotlight)
H. Yoon, H. Sompolinsky
Hebrew University
Bayesian modeling of human concept learning
(CS1, Spotlight)
J. Tenenbaum
Massachusetts Institute of Technology
Mechanisms of generalization in perceptual learning
(CS2, Spotlight)
Z. Liu, D. Weinshall
NEC Research Institute, Hebrew University
An entropic estimator for structure discovery
(SP1, Spotlight)
M. Brand
Mitsubishi Electric Research Laboratory
15:45-16:15 Break
Oral Session 4:
16:15 The role of lateral cortical competition in ocular
dominance development
(NS6, Oral)
C. Piepenbrock, K. Obermayer
Technical University of Berlin
16:35 Evidence for learning of a forward dynamic model in
human adaptive control
(CS3, Oral)
N. Bhushan, R. Shadmehr
Johns Hopkins University
16:55-18:00 Poster Preview
19:30 Poster Session
WED DEC 2
---------
Oral Session 5:
08:30 Computation by Cortical Modules
(Invited)
H. Sompolinsky
Hebrew University
09:20 Learning curves for Gaussian processes
(LT14, Oral)
P. Sollich
University of Edinburgh
9:40 Mean field methods for classification with Gaussian processes
(LT15, Oral)
M. Opper O. Winther
Aston University, Niels Bohr Institute
10:00 Dynamics of supervised learning with restricted training sets
(LT16, Spotlight)
A. Coolen, D. Saad
King's College London, Aston University
Finite-dimensional approximation of Gaussian processes
(LT18, Spotlight)
G. Trecate, C. Williams, M. Opper
University of Pavia, Aston University
Inference in multilayer networks via large deviation bounds
(LT20, Spotlight)
M. Kearns, L. Saul
AT&T Labs
Gradient descent for general reinforcement learning
(CN14, Spotlight)
L. Baird, A. Moore
Carnegie Mellon University
Risk sensitive reinforcement learning
(CN15, Spotlight)
R. Neuneier, O. Mihatsch
Siemens AG
10:15-11:00 Break
Oral Session 6:
11:00 VLSI implementation of motion centroid localization for
autonomous navigation
(IM6, Oral)
R. Etienne-Cummings, M. Ghani, V. Gruev
Southern Illinois University
11:20 Improved switching among temporally abstract actions
(CN16, Oral)
R. Sutton, S. Singh, D. Precup, B. Ravindran
University of Massachusetts, University of Colorado
11:40 Finite-sample convergence rates for Q-learning and
indirect algorithms
(CN17, Oral)
M. Kearns, S. Singh
AT&T Labs, University of Colorado
12:00-14:00 Lunch
Oral Session 7:
14:00 Statistical natural language processing: better living
through floating-point numbers
(Invited)
E. Charniak
Brown University
14:50 Markov processes on curves for automatic speech recognition
(SP3, Oral)
L. Saul, M. Rahim
AT&T Labs
15:10 Approximate learning of dynamic models
(AA22, Oral)
X. Boyen, D. Koller
Stanford University
15:30 Learning nonlinear stochastic dynamics using the
generalized EM algorithm
(AA23, Spotlight)
Z. Ghahramani, S. Roweis
University of Toronto, California Institute of Technology
Reinforcement learning for trading systems
(AP9, Spotlight)
J. Moody, M. Saffell
Oregon Graduate Institute
Bayesian modeling of facial similarity
(AP13, Spotlight)
B. Moghaddam, T. Jebara, A. Pentland
Mitsubishi Electric Research Laboratory,
Massachusetts Institute of Technology
Computation of smooth optical flow in a feedback
connected analog network
(IM8, Spotlight)
A. Stocker, R. Douglas
University and ETH Zurich
Classification on pairwise proximity data
(AA26, spotlight)
T. Graepel, R. Herbrich, P. Bollmann-Sdorra, K. Obermayer
Technical University of Berlin
15:45-16:15 Break
Oral Session 8:
16:15 Learning from dyadic data
(AA27, Oral)
T. Hofmann, J. Puzicha, M. Jordan
Massachusetts Institute of Technology, University of Bonn
16:35 Classification in non-metric spaces
(VS7, Oral)
D. Weinshall, D. Jacobs, Y. Gdalyahu
NEC Research Institute, Hebrew University
16:55-18:00 Poster Preview
19:30 Poster Session
THU DEC 3
---------
Oral Session 9:
08:30 Convergence of the wake-sleep algorithm
(LT22, Oral)
S. Ikeda, S. Amari, H. Nakahara
RIKEN Brain Science Institute
08:50 Learning a continuous hidden variable model for binary data
(AA32, Oral)
D. Lee, H. Sompolinsky
Bell Laboratories, Hebrew University
09:10 Direct optimization of margins improves generalization
in combined classifiers
(LT23, Oral)
L. Mason, P. Bartlett, J. Baxter
Australian National University
09:30 A polygonal line algorithm for constructing principal curves
(AA39, Oral)
B. Kegl, A. Krzyzak, T. Linder, K. Zeger
Concordia University, Queen's University, UC San Diego
09:50-10:30 Break
Oral Session 10:
10:30 Graphical models for recognizing human interactions
(AP15, Oral)
N. Oliver, B. Rosario, A. Pentland
Massachusetts Institute of Technology
10:50 Fast neural network emulation of physics-based models
for computer animation
(AP16, Oral)
R. Grzeszczuk, D. Terzopoulos, G. Hinton
Intel Corporation, University of Toronto
11:10 Things that think
(Invited)
N. Gershenfeld
Massachusetts Institute of Technology
12:00 End of main conference
POSTERS: TUE DEC 1
------------------
Basis selection for wavelet regression
(AA2, Poster)
K. Wheeler
NASA Ames Research Center
Boxlets: a fast convolution algorithm for signal processing
and neural networks
(AA3, Poster)
P. Simard, L. Bottou, P. Haffner, Y. LeCun
AT&T Labs
Least absolute shrinkage is equivalent to quadratic penalization
(AA5, Poster)
Y. Grandvalet, S. Canu
Universite de Technologie de Compiegne
Neural networks for density estimation
(AA6, Poster)
M. Magdon-Ismail, A. Atiya
California Institute of Technology
Semi-supervised support vector machines
(AA9, Poster)
K. Bennett, A. Demiriz
Rensselaer Polytechnic Institute
Exploiting generative models in discriminative classifiers
(AA10, Poster)
T. Jaakkola, D. Haussler
UC Santa Cruz
Using analytic QP and sparseness to speed training of support
vector machines
(AA11, Poster)
J. Platt
Microsoft Research
Source separation as a by-product of regularization
(AA14, Poster)
S. Hochreiter, J. Schmidhuber
Technical University of Munich, IDSIA
Unsupervised classification with non-Gaussian mixture
models using ICA
(AA15, Poster)
T-W. Lee, M. Lewicki, T. Sejnowski
The Salk Institute
Hierarchical ICA belief networks
(AA16, Poster)
H. Attias
UC San Francisco
Efficient Bayesian parameter estimation in large discrete domains
(AA17, Poster)
N. Friedman, Y. Singer
UC Berkeley, AT&T Labs
Discovering hidden features with Gaussian processes regression
(AA18, Poster)
F. Vivarelli, C. Williams
Aston University
Bayesian PCA
(AA19, Poster)
C. Bishop
Microsoft Research
Replicator equations, maximal cliques, and graph isomorphism
(AA20, Poster)
M. Pelillo
University of Venice
Convergence rates of algorithms for perceptual organization:
detecting visual contours
(AA21, Poster)
A. Yuille, J. Coughlan
Smith-Kettlewell Eye Research Institute
Independent component analysis of intracellular calcium spike data
(AP1, Poster)
K. Prank, J.Boerger, A. von zur Muehlen, G. Brabant, C. Schoefl
Medical School Hannover
Applications of multi-resolution neural networks to mammography
(AP2, Poster)
P. Sajda, C. Spence
Sarnoff Corporation
Making templates rotationally invariant: an application to
rotated digit recognition
(AP3, Poster)
S. Baluja
Carnegie Mellon University
Graph matching for shape retrieval
(AP4, Poster)
B. Huet, A. Cross, E. Hancock
University of York
Vertex identification in high energy physics experiments
(AP5, Poster)
G. Dror, H. Abramowicz, D. Horn
The Academic College of Tel-Aviv-Yaffo, Tel-Aviv University
Familiarity discrimination of radar pulses
(AP6, Poster)
E. Granger, S. Grossberg, M. Rubin, W. Streilein
Ecole Polytechnique de Montreal, Boston University
Robot docking using mixtures of Gaussians
(AP7, Poster)
M. Williamson, R. Murray-Smith, V. Hansen
Massachusetts Institute of Technology, Technical University
of Denmark, Daimler-Benz
Call-based fraud detection in mobile communication networks using
a hierarchical regime-switching model
(AP8, Poster)
J. Hollmen, V. Tresp
Helsinki University of Technology, Siemens AG
Multiple paired forward-inverse models for human motor learning
and control
(CS4, Poster)
M. Haruno, D. Wolpert, M. Kawato
ATR Human Information Processing Research Laboratories,
University College London
A neuromorphic monaural sound localizer
(IM1, Poster)
J. Harris, C-J. Pu, J. Principe
University of Florida
Active noise canceling using analog neuro-chip with on-chip
learning capability
(IM2, Poster)
J-W. Cho, S-Y. Lee
Korea Advanced Institute of Science and Technology
Optimizing correlation algorithms for hardware-based
transient classification
(IM3, Poster)
R. Edwards, G. Cauwenberghs, F. Pineda
Johns Hopkins University
A high performance k-NN classifier using a binary correlation
matrix memory
(IM4, Poster)
P. Zhou, J. Austin, J. Kennedy
University of York
A micropower CMOS adaptive amplitude and shift invariant
vector quantizer
(IM5, Poster)
R. Coggins, R. Wang, M. Jabri
University of Sidney
Where does the population vector of motor cortical cells point
during reaching movements?
(NS5, Poster)
P. Baraduc, E. Guigon, Y. Burnod
Universite Pierre et Marie Curie
Heeger's normalization, line attractor network and ideal observers
(NS7, Poster)
S. Deneve, A. Pouget, P. Latham
Georgetown University
Image statistics and cortical normalization models
(NS8, Poster)
E. Simoncelli, O. Schwartz
New York University
Learning instance-independent value functions to enhance
local search
(CN1, Poster)
R. Moll, A. Barto, T. Perkins, R. Sutton
University of Massachusetts
Exploring unknown environments with real-time heuristic search
(CN2, Poster)
S. Koenig
Georgia Institute of Technology
GLS: a hybrid classifier system based on POMDP research
(CN3, Poster)
A. Hayashi, N. Suematsu
Hiroshima City University
Non-linear PI control inspired by biological control systems
(CN4, Poster)
L. Brown, G. Gonye, J. Schwaber
E.I. DuPont deNemours
Coordinate transformation learning of hand position feedback
controller by using change of position error norm
(CN5, Poster)
E. Oyama, S. Tachi
University of Tokyo
Optimizing admission control while ensuring quality of service in
multimedia networks via reinforcement learning
(CN6, Poster)
T. Brown, H. Tong, S. Singh
University of Colorado
Barycentric interpolators for continuous space & time
reinforcement learning
(CN7, Poster)
R. Munos, A. Moore
Carnegie Mellon University
Modifying the parti-game algorithm for increased robustness,
higher efficiency and better policies
(CN8, Poster)
M. Al-Ansari, R. Williams
Northeastern University
Coding time-varying signals using sparse, shift-invariant
representations
(SP2, Poster)
M. Lewicki, T. Sejnowski
The Salk Institute
Phase diagram and storage capacity of sequence storing neural networks
(LT3, Poster)
A. Duering, A. Coolen, D. Sherrington
Oxford University, King's College London
Discontinuous recall transitions induced by competition between
short- and long-range interactions in recurrent networks
(LT4, Poster)
N. Skantzos, C. Beckmann, A. Coolen
King's College London
Computational differences between asymmetrical and symmetrical
networks
(LT5, Poster)
Z. Li, P. Dayan
Massachusetts Institute of Technology
Shrinking the tube: a new support vector regression algorithm
(LT6, Poster)
B. Schoelkopf, P. Bartlett, A. Smola, R. Williamson
GMD FIRST, Australian National University
Dynamically adapting kernels in support vector machines
(LT7, Poster)
N. Cristianini, C. Campbell, J. Shawe-Taylor
University of Bristol, University of London
A theory of mean field approximation
(LT8, Poster)
T. Tanaka
Tokyo Metropolitan University
The belief in TAP
(LT9, Poster)
Y. Kabashima, D. Saad
Tokyo Institute of Technology, Aston University
Unsupervised clustering: the mutual information between parameters
and observations
(LT10, Poster)
D. Herschkowitz, J-P. Nadal
Ecole Normale Superieure
Classification with linear threshold functions and the linear loss
(LT11, Poster)
C. Gentile, M. Warmuth
University of Milan, UC Santa Cruz
Almost linear VC dimension bounds for piecewise polynomial networks
(LT12, Poster)
P. Bartlett, V. Maiorov, R. Meir
Australian National University, Technion
Tight bounds for the VC-dimension of piecewise polynomial networks
(LT13, Poster)
A. Sakurai
Japan Advanced Institute of Science and Technology
Learning Lie transformation groups for invariant visual perception
(VS3, Poster)
R. Rao, D. Rudermann
The Salk Institute
Support vector machines applied to face recognition
(VS4, Poster)
J. Phillips
National Institute of Standards and Technology
Learning to find pictures of people
(VS5, Poster)
S. Ioffe, D. Forsyth
UC Berkeley
Probabilistic sensor fusion
(VS6, Poster)
R. Sharma, T. Leen, M. Pavel
Oregon Graduate Institute
POSTERS: WED DEC 2
------------------
Learning multi-class dynamics
(AA24, Poster)
A. Blake, B. North, M. Isard
Oxford University
Fisher scoring and a mixture of modes approach for approximate
inference and learning in nonlinear state space models
(AA25, Poster)
T. Briegel, V. Tresp
Siemens AG
A randomized algorithm for pairwise clustering
(AA28, Poster)
Y. Gdalyahu, D. Weinshall, M. Werman
Hebrew University
Visualizing group structure
(AA29, Poster)
M. Held, J. Puzicha, J. Buhmann
University of Bonn
Probabilistic visualization of high-dimensional binary data
(AA30, Poster)
M. Tipping
Microsoft Research
Restructuring sparse high dimensional data for effective retrieval
(AA31, Poster)
C. Isbell, P. Viola
Massachusetts Institute of Technology
Exploratory data analysis using radial basis function latent
variable models
(AA33, Poster)
A. Marrs, A. Webb
DERA
SMEM algorithm for mixture models
(AA34, Poster)
N. Ueda, R. Nakano, Z. Ghahramani, G. Hinton
NTT Communication Science Laboratories, University of Toronto
Learning mixture hierarchies
(AA35, Poster)
N. Vasconcelos, A. Lippman
Massachusetts Institute of Technology
On-line and batch parameter estimation of Gaussian mixtures
based on the relative entropy
(AA36, Poster)
Y. Singer, M. Warmuth
AT&T Labs, UC Santa Cruz
Very fast EM-based mixture model clustering using multiresolution
kd-trees
(AA37, Poster)
A. Moore
Carnegie Mellon University
Maximum conditional likelihood via bound maximization and
the CEM algorithm
(AA38, Poster)
T. Jebara, A. Pentland
Massachusetts Institute of Technology
Lazy learning meets the recursive least squares algorithm
(AA40, Poster)
M. Birattari, G. Bontempi, H. Bersini
Universite Libre de Bruxelles
Global optimization of neural network models via sequential sampling
(AA41, Poster)
J. de Freitas, M. Niranjan, A. Doucet, A. Gee
Cambridge University
Regularizing AdaBoost
(AA42, Poster)
G. Raetsch, T. Onoda, K. Mueller
GMD FIRST
Using collective intelligence to route Internet traffic
(AP10, Poster)
D. Wolpert, K. Tumer, J. Frank
NASA Ames Research Center
Scheduling straight-line code using reinforcement learning
and rollouts
(AP11, Poster)
A. McGovern, E. Moss
University of Massachusetts
Probabilistic modeling for face orientation discrimination:
learning from labeled and unlabeled data
(AP12, Poster)
S. Baluja
Carnegie Mellon University
Adding constrained discontinuities to Gaussian process models
of wind fields
(AP14, Poster)
D. Cornford, I. Nabney, C. Williams
Aston University
A principle for unsupervised hierarchical decomposition of
visual scenes
(CS5, Poster)
M. Mozer
University of Colorado
Facial memory is kernel density estimation (almost)
(CS6, Poster)
M. Dailey, G. Cottrell, T. Busey
UC San Diego, Indiana University
Perceiving without learning: from spirals to inside/outside
relations
(CS7, Poster)
K. Chen, D. Wang
Ohio State University
Utilizing time: asynchronous binding
(CS8, Poster)
B. Love
Northwestern University
A model for associative multiplication
(CS9, Poster)
G. Christianson, S. Becker
McMaster University
Analog VLSI cellular implementation of the boundary contour system
(IM7, Poster)
G. Cauwenberghs, J. Waskiewicz
Johns Hopkins University
An integrated vision sensor for the computation of optical
flow singular points
(IM9, Poster)
C. Higgins, C. Koch
California Institute of Technology
Spike-based compared to rate-based Hebbian learning
(NS9, Poster)
R. Kempter, W. Gerstner, L. van Hemmen
Technical University of Munich, Swiss Federal Institute of Technology
Neuronal regulation implements efficient synaptic pruning
(NS10, Poster)
G. Chechik, I. Meilijson, E. Ruppin
Tel-Aviv University
Signal detection in noisy weakly-active dendrites
(NS11, Poster)
A. Manwani, C. Koch
California Institute of Technology
Influence of changing the synaptic transmitter release probability
on contrast adaptation of simple cells in the primary visual cortex
(NS12, Poster)
P. Adorjan, K. Obermayer
Technical University of Berlin
Complex cells as cortically amplified simple cells
(NS13, Poster)
F. Chance, S. Nelson, L. Abbott
Brandeis University
Synergy and redundancy among brain cells of behaving monkeys
(NS14, Poster)
I. Gat, N. Tishby
Hebrew University, NEC Research Institute
Visualizing and analyzing single-trial event-related potentials
(NS15, Poster)
T-P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne,
T. Sejnowski
The Salk Institute, Naval Health Research Center, UC San Diego
A reinforcement learning algorithm in partially observable
environments using short-term memory
(CN9, Poster)
N. Suematsu, A. Hayashi
Hiroshima City University
Experiments with a memoryless algorithm which learns locally optimal
stochastic policies for partially observable Markov decision processes
(CN10, Poster)
J. Williams, S. Singh
University of Colorado
The effect of eligibility traces on finding optimal memoryless
policies in partially observable Markovian decision processes
(CN11, Poster)
J. Loch
University of Colorado
Learning macro-actions in reinforcement learning
(CN12, Poster)
J. Randlov
Niels Bohr Institute
Reinforcement learning based on on-line EM algorithm
(CN13, Poster)
M. Sato, S. Ishii
ATR Human Information Processing Research Laboratories,
Nara Institute of Science and Technology
Controlling the complexity of HMM systems by regularization
(SP4, Poster)
C. Neukirchen, G. Rigoll
Gerhard-Mercator-University
Maximum-likelihood continuity mapping (MALCOM): an alternative
to HMMs
(SP5, Poster)
D. Nix, J. Hogden
Los Alamos National Laboratory
On-line learning with restricted training sets: exact solution
as benchmark for general theories
(LT17, Poster)
H. Rae, P. Sollich, A. Coolen
King's College London, University of Edinburgh
General bounds on Bayes errors for regression with
Gaussian processes
(LT19, Poster)
M. Opper, F. Vivarelli
Aston University
Variational approximations of graphical models using
undirected graphs
(LT21, Poster)
D. Barber, W. Wiegerinck
University of Nijmegen
Optimizing classifiers for imbalanced training sets
(LT24, Poster)
G. Karakoulas, J. Shawe-Taylor
Canadian Imperial Bank of Commerce, University of London
On the optimality of incremental neural network algorithms
(LT25, Poster)
R. Meir, V. Maiorov
Technion
General-purpose localization of textured image regions
(VS8, Poster)
R. Rosenholtz
Xerox PARC
A V1 model of pop out and asymmetry in visual search
(VS9, Poster)
Z. Li
Massachusetts Institute of Technology
Minutemax: a fast approximation for minimax learning
(VS10, Poster)
J. Coughlan, A. Yuille
Smith-Kettlewell Eye Research Institute
Using statistical properties of a labelled visual world to
estimate scenes
(VS11, Poster)
W. Freeman, E. Pasztor
Mitsubishi Electric Research Laboratory
Example based image synthesis of articulated figures
(VS12, Poster)
T. Darrell
Interval Research
*******************************************************************************
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