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PAMI
2008
161views more  PAMI 2008»
13 years 10 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
PR
2008
132views more  PR 2008»
13 years 10 months ago
Measuring linearity of planar point sets
Our goal is to design algorithms that give a linearity measure for planar point sets. There is no explicit discussion on linearity in literature, although some existing shape meas...
Milos Stojmenovic, Amiya Nayak, Jovisa D. Zunic
PAA
2006
13 years 9 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
PR
2006
117views more  PR 2006»
13 years 9 months ago
On transforming statistical models for non-frontal face verification
: We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayes...
Conrad Sanderson, Samy Bengio, Yongsheng Gao
SIGARCH
2008
97views more  SIGARCH 2008»
13 years 9 months ago
SP-NUCA: a cost effective dynamic non-uniform cache architecture
1 This paper presents a simple but effective method to reduce on-chip access latency and improve core isolation in CMP Non-Uniform Cache Architectures (NUCA). The paper introduces ...
Javier Merino, Valentin Puente, Pablo Prieto, Jos&...
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