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AAAI
2011
14 years 3 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
184
Voted
VISUAL
2007
Springer
15 years 9 months ago
Automatic Detection and Recognition of Players in Soccer Videos
An application for content-based annotation and retrieval of videos can be found in the sport domain, where videos are annotated in order to produce short summaries for news and sp...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
165
Voted
PAMI
1998
116views more  PAMI 1998»
15 years 3 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
131
Voted
ISW
2000
Springer
15 years 7 months ago
Spatial-Domain Image Watermarking Robust against Compression, Filtering, Cropping, and Scaling
Abstract. Two robust spatial-domain watermarking algorithms for image copyright protection are described in this paper. The first one is robust against compression, filtering and c...
Francesc Sebé, Josep Domingo-Ferrer, Jordi ...
130
Voted
IJCNN
2000
IEEE
15 years 8 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen