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CVPR
2007
IEEE
16 years 2 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
ICIP
2006
IEEE
16 years 2 months ago
Spatial and Color Spaces Combination for Natural Scene Text Extraction
Natural scene images brought new challenges for a few years and one of them is text understanding over images or videos. Text extraction which consists to segment textual foregrou...
Bernard Gosselin, Céline Mancas-Thillou
83
Voted
ICIP
2000
IEEE
16 years 2 months ago
Joint Space-Frequency Segmentation, Entropy Coding and the Compression of Ultrasound Images
Joint space-frequency segmentation is a relatively new image compression technique that finds the rate-distortion optimal representation of an image from a large set of possible s...
Ed Chiu, Jacques Vaisey, M. Stella Atkins
112
Voted
DAC
2002
ACM
16 years 1 months ago
Exploiting shared scratch pad memory space in embedded multiprocessor systems
In this paper, we present a compiler strategy to optimize data accesses in regular array-intensive applications running on embedded multiprocessor environments. Specifically, we p...
Mahmut T. Kandemir, J. Ramanujam, Alok N. Choudhar...
102
Voted
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 1 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou