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NIPS
2004
15 years 2 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
90
Voted
NIPS
2003
15 years 2 months ago
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
Adria Bofill-i-Petit, Alan F. Murray
112
Voted
ICML
2010
IEEE
15 years 29 days ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
97
Voted
AROBOTS
2004
99views more  AROBOTS 2004»
15 years 19 days ago
Bayesian Robot Programming
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
Olivier Lebeltel, Pierre Bessière, Julien D...
121
Voted
CORR
2010
Springer
183views Education» more  CORR 2010»
14 years 11 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn