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149
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ECCV
2008
Springer
16 years 5 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
217
Voted
ICDE
2006
IEEE
139views Database» more  ICDE 2006»
16 years 4 months ago
MiniCount: Efficient Rewriting of COUNT-Queries Using Views
We present MiniCount, the first efficient sound and complete algorithm for finding maximally contained rewritings of conjunctive queries with count, using conjunctive views with c...
Prodromos Malakasiotis, Václav Lín, ...
110
Voted
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 9 months ago
A Measure for Evaluating Retrieval Techniques based on Partially Ordered Ground Truth Lists
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. I...
Rainer Typke, Remco C. Veltkamp, Frans Wiering
NDSS
2005
IEEE
15 years 9 months ago
DNS-based Detection of Scanning Worms in an Enterprise Network
Worms are arguably the most serious security threat facing the Internet. Seeking a detection technique that is both sufficiently efficient and accurate to enable automatic conta...
David Whyte, Evangelos Kranakis, Paul C. van Oorsc...