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» Approximation schemes for clustering problems
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ISBI
2006
IEEE
14 years 8 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
ICDAR
2009
IEEE
14 years 2 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 2 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
MICRO
2007
IEEE
188views Hardware» more  MICRO 2007»
14 years 1 months ago
Multi-bit Error Tolerant Caches Using Two-Dimensional Error Coding
In deep sub-micron ICs, growing amounts of ondie memory and scaling effects make embedded memories increasingly vulnerable to reliability and yield problems. As scaling progresses...
Jangwoo Kim, Nikos Hardavellas, Ken Mai, Babak Fal...
DEXA
2007
Springer
135views Database» more  DEXA 2007»
14 years 1 months ago
Semantic Grouping of Social Networks in P2P Database Settings
Abstract. Sharing of structured data in decentralized environments is a challenging problem, especially in the absence of a global schema. Social network structures map network lin...
Verena Kantere, Dimitrios Tsoumakos, Timos K. Sell...