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NIPS
2007
15 years 7 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 7 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
PDPTA
2000
15 years 7 months ago
Using a Hypercube Algorithm for Broadcasting in Internet-Based Clusters
Internet-based clusters of workstations have been extensively used to execute parallel applications. Although these internet-based clusters seem to be an easy and inexpensive way ...
Silvia M. Figueira
ICIP
2008
IEEE
16 years 19 days ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
CLUSTER
2009
IEEE
16 years 28 days ago
Investigating the use of GPU-accelerated nodes for SAR image formation
The computation of an electromagnetic reflectivity image from a set of radar returns is a computationally intensive process. Therefore, the use of high performance computing is r...
Timothy D. R. Hartley, Ahmed Fasih, Charles A. Ber...