Sciweavers

NIPS
2003
13 years 5 months ago
Automatic Annotation of Everyday Movements
This paper describes a system that can annotate a video sequence with: a description of the appearance of each actor; when the actor is in view; and a representation of the actorâ...
Deva Ramanan, David A. Forsyth
NIPS
2003
13 years 5 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
NIPS
2003
13 years 5 months ago
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples
Accurate spectral decomposition is essential for the analysis and diagnosis of histologically stained tissue sections. In this paper we present the ï¬rst automated system for per...
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Je...
NIPS
2003
13 years 5 months ago
Bounded Finite State Controllers
We describe a new approximation algorithm for solving partially observable MDPs. Our bounded policy iteration approach searches through the space of bounded-size, stochastic ï¬ni...
Pascal Poupart, Craig Boutilier
NIPS
2003
13 years 5 months ago
Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics
Spike timing plasticity (STDP) is a special form of synaptic plasticity where the relative timing of post- and presynaptic activity determines the change of the synaptic weight. O...
Bernd Porr, Ausra Saudargiene, Florentin Wörg...
NIPS
2003
13 years 5 months ago
Applying Metric-Trees to Belief-Point POMDPs
Recent developments in grid-based and point-based approximation algorithms for POMDPs have greatly improved the tractability of POMDP planning. These approaches operate on sets of...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
NIPS
2003
13 years 5 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear ï¬ltering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
NIPS
2003
13 years 5 months ago
A Sampled Texture Prior for Image Super-Resolution
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
NIPS
2003
13 years 5 months ago
Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors
Is there a way for an algorithm linked to an unknown body to infer by itself information about this body and the world it is in? Taking the case of space for example, is there a w...
David Philipona, J. K. O'Regan, Jean-Pierre Nadal,...
NIPS
2003
13 years 5 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin