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PDCN
2004
15 years 5 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
OSDI
1994
ACM
15 years 5 months ago
Distributed Filaments: Efficient Fine-Grain Parallelism on a Cluster of Workstations
A fine-grain parallel program is one in which processes are typically small, ranging from a few to a few hundred instructions. Fine-grain parallelism arises naturally in many situ...
Vincent W. Freeh, David K. Lowenthal, Gregory R. A...
ICIP
2009
IEEE
15 years 1 months ago
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
Rachid Hedjam, Max Mignotte
ICASSP
2008
IEEE
15 years 10 months ago
Audio retrieval by latent perceptual indexing
We present a query-by-example audio retrieval framework by indexing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from...
Shiva Sundaram, Shrikanth Narayanan
FOCS
2000
IEEE
15 years 8 months ago
Clustering Data Streams
The data stream model has recently attracted attention for its applicability to numerous types of data, including telephone records, web documents and clickstreams. For analysis o...
Sudipto Guha, Nina Mishra, Rajeev Motwani, Liadan ...