Television news is an important medium to convey information to masses. This motivates
several stakeholders to monitor and analyze the news broadcasts. Segmentation of …

Abstract Multiple Kernel Learning (MKL) literature has mostly focused on learning weights
for base kernel combiners. Recent works using instance dependent weights have resulted in …

Ensemble classifiers are showing a promising way to solve various classification and
predictive problems. Improving the performance of ensemble classifiers becomes easier …

In this paper we describe a novel implementation of adaboost for prediction of survival
function. We take different variations of the algorithm and compare the algorithms based on …

Research in advertisement detection (in news broadcast videos) has mainly focused on
development of efficient audio-visual features. These features are used with standard …

This thesis discusses applications of random rotations in machine learning. Rotations of the
feature space can lead to more diverse ensembles, better predictions, less complex …