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FSMNLP
2005
Springer
14 years 1 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
POPL
2009
ACM
14 years 8 months ago
SPEED: precise and efficient static estimation of program computational complexity
This paper describes an inter-procedural technique for computing symbolic bounds on the number of statements a procedure executes in terms of its scalar inputs and user-defined qu...
Sumit Gulwani, Krishna K. Mehra, Trishul M. Chilim...
ICPR
2006
IEEE
14 years 8 months ago
Real-time Camera Pose and Focal Length Estimation
This paper presents a novel approach to estimate the changing internal and external parameters of the camera in real time using a few 3D-2D point correspondences. We approach the ...
Sumit Jain, Ulrich Neumann
ICVGIP
2004
13 years 9 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 8 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang