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ICPR
2000
IEEE
14 years 8 days ago
Modeling Range Images with Bounded Error Triangular Meshes without Optimization
This paper presents a new technique for approximating range images by means of adaptive triangular meshes with a bounded approximation error and without applying optimization. Thi...
Angel Domingo Sappa, Miguel Angel García
FOCS
1990
IEEE
13 years 12 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
PODS
2007
ACM
108views Database» more  PODS 2007»
14 years 8 months ago
Machine models and lower bounds for query processing
This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...
Nicole Schweikardt
PDPTA
2004
13 years 9 months ago
Static Performance Evaluation for Memory-Bound Computing: The MBRAM Model
We present the MBRAM model for static evaluation of the performance of memory-bound programs. The MBRAM model predicts the actual running time of a memory-bound program directly fr...
Gene Cooperman, Xiaoqin Ma, Viet Ha Nguyen
ICCV
2011
IEEE
12 years 7 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter