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» Algorithmic Complexity Bounds on Future Prediction Errors
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CORR
2006
Springer
109views Education» more  CORR 2006»
13 years 5 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
TASLP
2010
157views more  TASLP 2010»
12 years 12 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan
VRCAI
2006
ACM
13 years 11 months ago
Parallel-split shadow maps for large-scale virtual environments
Shadowing effects dramatically enhance the realism of virtual environments by providing useful visual cues. Shadow mapping is an efficient algorithm for real-time shadow renderin...
Fan Zhang, Hanqiu Sun, Leilei Xu, Lee Kit Lun
JMLR
2006
85views more  JMLR 2006»
13 years 5 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
IROS
2009
IEEE
187views Robotics» more  IROS 2009»
13 years 12 months ago
Compliant quadruped locomotion over rough terrain
— Many critical elements for statically stable walking for legged robots have been known for a long time, including stability criteria based on support polygons, good foothold se...
Jonas Buchli, Mrinal Kalakrishnan, Michael Mistry,...