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ICANN
2007
Springer
14 years 12 days ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
ICASSP
2009
IEEE
13 years 4 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
GCB
2007
Springer
91views Biometrics» more  GCB 2007»
14 years 13 days ago
A Study on the Empirical Support for Prior Distributions on Phylogenetic Tree Topologies
: There are several models for the evolutionary process forming a species tree. We examine the Birth-and-Death model (BDM), the Proportional-to-Distinguishable Arrangements (PDA) m...
Lin Himmelmann, Dirk Metzler
PAMI
2010
241views more  PAMI 2010»
13 years 1 months ago
Point Set Registration: Coherent Point Drift
We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid registration of point sets. The registration is treated as a Maximum Likelihood (ML) estimation ...
Andriy Myronenko, Xubo B. Song
ICCV
2007
IEEE
14 years 17 days ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen