Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...