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CSL
2006
Springer
15 years 4 months ago
Adaptation of maximum entropy capitalizer: Little data can help a lot
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Ciprian Chelba, Alex Acero
SIGSOFT
2007
ACM
16 years 4 months ago
Towards incremental adaptive covering arrays
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
NIPS
2007
15 years 5 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
ICPR
2004
IEEE
16 years 5 months ago
Resampling for Face Detection by Self-Adaptive Genetic Algorithm
Over the past ten years, face detection has been thoroughly studied in computer vision research for its interesting applications. However, all of the state-of-the-art statistical ...
Jie Chen, Wen Gao, Xilin Chen
SI3D
2005
ACM
15 years 9 months ago
Adaptive sampling of intersectable models exploiting image and object-space coherence
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
Anders Adamson, Marc Alexa, Andrew Nealen