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ICIP
2005
IEEE
14 years 9 months ago
Parameter estimation of multi-dimensional hidden Markov models - a scalable approach
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorith...
Dhiraj Joshi, Jia Li, James Ze Wang
JMIV
2007
143views more  JMIV 2007»
13 years 7 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson
PAMI
2010
161views more  PAMI 2010»
13 years 6 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
CIKM
2008
Springer
13 years 9 months ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
CVPR
2005
IEEE
13 years 9 months ago
Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable M
Understanding and modifying the effects of arbitrary illumination on human faces in a realistic manner is a challenging problem both for face synthesis and recognition. Recent res...
Lei Zhang 0002, Sen Wang, Dimitris Samaras