We introduce a new approach for learning part-based object detection through feature synthesis. Our method consists of an iterative process of feature generation and pruning. A feature generation procedure is presented in which basic part-based features are developed into a feature hierarchy using operators for part localization, part refining and part combination. Feature pruning is done using...

A common problem in many model-building situations is to choose from a large set of covariates that should be included in the “best” model. An additional consideration in modeling epidemiological data is the inclusion of confounders, which adds a quirk in the modeling procedure in that statistical significance is not the main criteria for keeping predictors in a model. Hosmer and Lemeshow (2000...

gression enable us to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome or response can be either dichotomous (yes, no) or ordinal (low, medium, high). During dichotomous response, we are performing standard logistic regression and for ordinal response, model that uses standard logistic regression formula with feature selection using forw...

An efficient implementation of the orthogonal least squares algorithm for subset model selection is derived in this correspondence. Computational complexity of the algorithm is examined and the result shows that this new fast orthogonal least squares algorithm significantly reduces computational requirements.

This letter studies deep learning methods for beam selection in multiuser beamforming with limited feedback. We construct a set of orthogonal random beams and allocate the to users maximize sum rate, based on feedback regarding channel power beams. formulate allocation problem as classification or regression task using neural network (DNN). The results demonstrate that DNN-based achieve higher ...

This paper examines optical CDMA (OCDMA) communication techniques with optical orthogonal codes. These optical orthogonal codes (OOC) set are constructed by using difference set methods. Simulations that show OOC reduce interference due to other users and channel noise. Probability of error can be reduce by selection of proper weight (w), length (n) & cardinality(C) of OOC.

Fast-forward playback enables viewers to scan through the video scene of interest efficiently. One approach to realize fast-forward playback is to employ a frame-skipping transcoder which transcodes only the frames required for playback at the desired fast speed. Various motion vector composition algorithms are used to compose the new motion vectors with reduced complexity. These algorithms do ...