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CVPR
2007
IEEE
16 years 6 months ago
Modelling Objects using Distribution and Topology of Multiscale Region Pairs
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Himanshu Arora, Narendra Ahuja
ICTAI
2009
IEEE
15 years 11 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
ICML
2009
IEEE
16 years 5 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
15 years 10 months ago
Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...
Óscar Martínez Mozos, Wolfram Burgar...
CAIP
2005
Springer
160views Image Analysis» more  CAIP 2005»
15 years 10 months ago
Supervised Texture Detection in Images
This paper presents a technique for texture segmentation in images. Providing a small template of a texture of interest results in the image being segmented into regions with simil...
Branislav Micusík, Allan Hanbury