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» On the correlation of binary sequences
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85
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ICPR
2008
IEEE
15 years 7 months ago
Modulation-domain particle filter for template tracking
Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
R. Senthil Prakash, Rangarajan Aravind
54
Voted
ICMCS
2005
IEEE
82views Multimedia» more  ICMCS 2005»
15 years 6 months ago
An Extended Motion-Estimation Architecture Applied to Shape Recognition
An architecture for shape recognition is presented, with emphasis on low-latency and power efficiency. This architecture is an extension of an existing architecture used for moti...
Jason Schlessman, Sankalita Saha, Wayne Wolf, Shuv...
105
Voted
CIMAGING
2008
122views Hardware» more  CIMAGING 2008»
15 years 2 months ago
Online consistency checking for AM-FM target tracks
We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection proce...
Nick A. Mould, Chuong T. Nguyen, Colin M. Johnston...
71
Voted
NIPS
2001
15 years 1 months ago
A Neural Oscillator Model of Auditory Selective Attention
A model of auditory grouping is described in which auditory attention plays a key role. The model is based upon an oscillatory correlation framework, in which neural oscillators r...
Stuart N. Wrigley, Guy J. Brown
CIKM
2008
Springer
15 years 2 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan