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» Feature Mining for Image Classification
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141
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ISBI
2004
IEEE
16 years 3 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
151
Voted
ICIP
2003
IEEE
16 years 4 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan
122
Voted
EVOW
2006
Springer
15 years 6 months ago
Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement
Singularity is the special feature of fingerprints for identification and classification. Since the performance of singularity extraction depends on the quality of fingerprint imag...
Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 3 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
102
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WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
16 years 23 hour ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...