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» Structural Learning of Activities from Sparse Datasets
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ICCV
2011
IEEE
12 years 7 months ago
2D-3D Fusion for Layer Decomposition of Urban Facades
We present a method for fusing two acquisition modes, 2D photographs and 3D LiDAR scans, for depth-layer decomposition of urban facades. The two modes have complementary character...
Yangyan Li, Qian Zheng, Andrei Sharf, Daniel Cohen...
BMCBI
2008
189views more  BMCBI 2008»
13 years 7 months ago
AnEnPi: identification and annotation of analogous enzymes
Background: Enzymes are responsible for the catalysis of the biochemical reactions in metabolic pathways. Analogous enzymes are able to catalyze the same reactions, but they prese...
Thomas D. Otto, Ana Carolina R. Guimarães, ...
ATAL
2009
Springer
14 years 2 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
BMVC
2010
13 years 5 months ago
Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
Martin Heracles, Fernando Martinelli, Jannik Frits...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 5 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...