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NIPS
1998
13 years 10 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
ICIP
2002
IEEE
14 years 10 months ago
A kernel machine based approach for multi-view face recognition
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
Juwei Lu, Kostas N. Plataniotis, Anastasios N. Ven...
TIP
2011
162views more  TIP 2011»
13 years 3 months ago
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
Allan Aasbjerg Nielsen
CCECE
2006
IEEE
14 years 3 months ago
Blood Impedance Characterization from Pulsatile Measurements
This paper describes an in vivo measurement technique to calculate dielectric properties of blood excluding the contributions from surrounding tissues, based on analysis of the pu...
Tao Dai, Andy Adler
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
Xue Mei, Shaohua Kevin Zhou, Fatih Porikli