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SCALESPACE
2007
Springer
15 years 7 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
AUTOMATICA
2002
81views more  AUTOMATICA 2002»
15 years 1 months ago
The explicit linear quadratic regulator for constrained systems
For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, the state feedback control law which minimi...
Alberto Bemporad, Manfred Morari, Vivek Dua, Efstr...
IPPS
2009
IEEE
15 years 8 months ago
On the complexity of mapping pipelined filtering services on heterogeneous platforms
In this paper, we explore the problem of mapping filtering services on large-scale heterogeneous platforms. Two important optimization criteria should be considered in such a fra...
Anne Benoit, Fanny Dufossé, Yves Robert
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 2 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 2 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...