Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
We propose in this paper a definition of the normal law on the space of strings. This definition allows generations of sets of strings that have controled statistical features. Mo...
Watching TV shows on cell phones is starting to become a reality. Nevertheless, there still exist some significant issues due to the small size of cell phone screens. The direct t...
Most existing sensor planning algorithms find it difficult to tackle the discrepancy between a PTZ camera's limited instant field of view (FOV) and panoramic achievable FOV. ...
Andreas Koschan, Besma R. Abidi, Chung-Hao Chen, D...
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wireframe vehicle model is set up as prior information and an efficient local gradien...
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Traditional image-based mosaicing deals with the problem of parallax by imposing constraints of a parallax-free camera configuration or requiring a dense sampling of the scene. Th...
The novelty of the approach presented in this paper is the unique object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods...
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...