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CVPR
2010
IEEE
14 years 2 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
BMCBI
2005
114views more  BMCBI 2005»
13 years 9 months ago
Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and stru
Background: Protein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many importa...
Luciano Milanesi, Mauro Petrillo, Leandra Sepe, An...
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 10 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
EDBT
2000
ACM
14 years 1 months ago
Dynamically Optimizing High-Dimensional Index Structures
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...
Christian Böhm, Hans-Peter Kriegel
CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....