Sciweavers

2512 search results - page 95 / 503
» Learning from Highly Structured Data by Decomposition
Sort
View
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 3 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
AI
2006
Springer
14 years 10 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
PLDI
2010
ACM
15 years 3 months ago
Supporting speculative parallelization in the presence of dynamic data structures
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Chen Tian, Min Feng, Rajiv Gupta
ICCSA
2003
Springer
15 years 3 months ago
Progressive Curve Representation Based on Reverse Subdivision
Abstract. A progressive curve representation based on reverse subdivision is introduced. This consists of three main components. First, multi-resolution structures for some common ...
Faramarz F. Samavati, Mai Ali Nur, Richard M. Bart...
BMCBI
2006
137views more  BMCBI 2006»
14 years 10 months ago
Improving the accuracy of protein secondary structure prediction using structural alignment
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...