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CVPR
2005
IEEE
14 years 9 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
SETN
2004
Springer
14 years 24 days ago
An Intelligent System for Aerial Image Retrieval and Classification
Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with fe...
Antonios Gasteratos, Panagiotis Zafeiridis, Ioanni...
ICIP
2005
IEEE
14 years 9 months ago
Coupled geometric and texture PDE-based segmentation
In this paper, along with recent trends in segmentation using multiple image cues, we examine the integration of modulation texture features, image contrast and region size for de...
Anastasia Sofou, Georgios Evangelopoulos, Petros M...
TRECVID
2008
13 years 9 months ago
Peking University at TRECVID 2008: High Level Feature Extraction
We participated in one task of TRECVID 2008, that is, the high-level feature extraction (HLFE). This paper presents our approaches and results on the HLFE task. We mainly focus on...
Yuxin Peng, Zhiguo Yang, Jian Yi, Lei Cao, Hao Li,...
ICCV
2005
IEEE
14 years 9 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes