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» Phenomenology, Representations and Complexity
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ICML
2004
IEEE
16 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
200
Voted
ICML
2002
IEEE
16 years 8 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
298
Voted
CADE
2002
Springer
16 years 7 months ago
Reasoning with Expressive Description Logics: Theory and Practice
Abstract. Description Logics are a family of class based knowledge representation formalisms characterised by the use of various constructors to build complex classes from simpler ...
Ian Horrocks
ICIAP
2001
Springer
16 years 7 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
ICIAP
2007
ACM
16 years 7 months ago
Exploiting Temporal Statistics for Events Analysis and Understanding
In this paper, we propose a technique for detecting possible events in outdoor areas monitored by a video surveillance system. In particular, here we focus on the time spent by an...
Christian Micheloni, Lauro Snidaro, Claudio Piciar...