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ICPR
2008
IEEE
14 years 1 months ago
Approximation of salient contours in cluttered scenes
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
Rui Huang, Nong Sang, Qiling Tang
UAI
1996
13 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
PKDD
2004
Springer
113views Data Mining» more  PKDD 2004»
14 years 22 days ago
Discovery of Regulatory Connections in Microarray Data
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
PAMI
2006
183views more  PAMI 2006»
13 years 7 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
DATE
2000
IEEE
110views Hardware» more  DATE 2000»
13 years 11 months ago
Stochastic Modeling and Performance Evaluation for Digital Clock and Data Recovery Circuits
Clock and data recovery circuits are essential components in communication systems. They directly influence the bit-error-rate performance of communication links. It is desirable...
Alper Demir, Peter Feldmann