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PREMI
2005
Springer
15 years 11 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
ROBOCUP
2005
Springer
99views Robotics» more  ROBOCUP 2005»
15 years 11 months ago
Keepaway Soccer: From Machine Learning Testbed to Benchmark
Keepaway soccer has been previously put forth as a testbed for machine learning. Although multiple researchers have used it successfully for machine learning experiments, doing so ...
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, ...
ADHOCNOW
2004
Springer
15 years 10 months ago
Adaptive Probing and Communication in Sensor Networks
Sensor networks consist of multiple low-cost, autonomous, ad-hoc sensors, that periodically probe and react to the environment and communicate with other sensors or devices. A prim...
Iftach Ragoler, Yossi Matias, Nimrod Aviram
CTRSA
2004
Springer
96views Cryptology» more  CTRSA 2004»
15 years 10 months ago
Self-Randomized Exponentiation Algorithms
Abstract. Exponentiation is a central process in many public-key cryptosystems such as RSA and DH. This paper introduces the concept of self-randomized exponentiation as an efficie...
Benoît Chevallier-Mames
GFKL
2004
Springer
107views Data Mining» more  GFKL 2004»
15 years 10 months ago
Hierarchical Mixture Models for Nested Data Structures
A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
Jeroen K. Vermunt, Jay Magidson