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» New Complexity Results for Classical Planning Benchmarks
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ACL
2010
14 years 10 months ago
Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation
Name ambiguity problem has raised urgent demands for efficient, high-quality named entity disambiguation methods. In recent years, the increasing availability of large-scale, rich...
Xianpei Han, Jun Zhao
CVPR
2011
IEEE
14 years 8 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
MICAI
2007
Springer
15 years 6 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
118
Voted
CHES
2005
Springer
149views Cryptology» more  CHES 2005»
15 years 6 months ago
Resistance of Randomized Projective Coordinates Against Power Analysis
Embedded devices implementing cryptographic services are the result of a trade-off between cost, performance and security. Aside from flaws in the protocols and the algorithms us...
William Dupuy, Sébastien Kunz-Jacques
86
Voted
ECCV
2010
Springer
15 years 5 months ago
Error-tolerant Image Compositing
Abstract. Gradient-domain compositing is an essential tool in computer vision and its applications, e.g., seamless cloning, panorama stitching, shadow removal, scene completion and...