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» Sublinear Time Algorithms for Metric Space Problems
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ISNN
2011
Springer
14 years 6 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
135
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ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
15 years 9 months ago
Visual Servoing in Non-Rigid Environments: A Space-Time Approach
— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...
D. Santosh, C. V. Jawahar
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
DAC
2005
ACM
16 years 4 months ago
An efficient algorithm for statistical minimization of total power under timing yield constraints
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
Murari Mani, Anirudh Devgan, Michael Orshansky
FAW
2010
Springer
225views Algorithms» more  FAW 2010»
15 years 3 months ago
Computing Minimum Diameter Color-Spanning Sets
We study the minimum diameter color-spanning set problem which has recently drawn some attention in the database community. We show that the problem can be solved in polynomial tim...
Rudolf Fleischer, Xiaoming Xu