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CVPR
2000
IEEE
14 years 9 months ago
Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
Roberto Manduchi
ICCD
2000
IEEE
87views Hardware» more  ICCD 2000»
13 years 11 months ago
Binary and Multi-Valued SPFD-Based Wire Removal in PLA Networks
This paper describes the application of binary and multivalued SPFD-based wire removal techniques for circuit implementations utilizing networks of PLAs. It has been shown that a ...
Subarnarekha Sinha, Sunil P. Khatri, Robert K. Bra...
PARELEC
2000
IEEE
13 years 11 months ago
Parallel Computing Environments and Methods
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effecti...
Ghassan Fadlallah, Michel Lavoie, Louis-A. Dessain...
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
13 years 11 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
NIPS
2000
13 years 8 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio