In this paper, we investigate the process of searching for images of specified people in the consumer family photo domain. This domain is very different from the controlled enviro...
Andrew C. Gallagher, Madirakshi Das, Alexander C. ...
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...
We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...