In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...
Abstract—Due to future ubiquitous service environments, approaches for dynamic delivery of services face new challenges. Since the web 2.0 gave to customers the change to interac...
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color u...
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second Order Cone Program (SOCP) with one Second Order Cone ...
Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. ...