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» Image Based Regression Using Boosting Method
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CIKM
2010
Springer
15 years 1 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ISM
2005
IEEE
128views Multimedia» more  ISM 2005»
15 years 9 months ago
Local Shape Association Based Retrieval of Infrared Satellite Images
— This paper presents a shape-based retrieval system and its application to infrared satellite images. A complete system is presented, from region extraction of a full hemisphere...
Aiyesha Ma, Ishwar K. Sethi
ICIP
2001
IEEE
16 years 5 months ago
A scalable integrated region-based image retrieval system
In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (...
Yanping Du, James Ze Wang
ICCV
2007
IEEE
15 years 10 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
3DIM
2007
IEEE
15 years 10 months ago
Orientation of Image Sequences in a Point-based Environment Model
In this paper we propose a method to determine the exterior orientation of each frame of an intensity image sequence using prior knowledge of the scene stored in a pointbased envi...
Jan Böhm