ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Staff removal is an important preprocessing step of the Optical Music Recognition (OMR). The process aims to remove the stafflines from a musical document and retain only the music...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Next-best-view (NBV) planning is an important aspect for three-dimensional (3D) reconstruction within controlled environments, such as a camera mounted on a robotic arm. NBV metho...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Although the concept of using brain waves, e.g. Electroencephalogram (EEG), for personal identification has been validated in several studies, some unanswered practical and theoret...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular ...