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JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
DAC
1997
ACM
15 years 2 months ago
More Practical Bounded-Skew Clock Routing
: Academic clock routing research results has often had limited impact on industry practice, since such practical considerations as hierarchical buffering, rise-time and overshoot ...
Andrew B. Kahng, Chung-Wen Albert Tsao
JALC
2006
143views more  JALC 2006»
14 years 9 months ago
Quality-Aware Service Delegation in Automated Web Service Composition: An Automata-Theoretic Approach
Automated Web Service Composition has gained a significant momentum in facilitating fast and efficient formation of business-to-business collaborations where an important objectiv...
Oscar H. Ibarra, Bala Ravikumar, Cagdas Evren Gere...
ICCV
2009
IEEE
16 years 2 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
TCSV
2011
14 years 4 months ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...