Svetha Venkatesh

TL;DR: A novel algorithm called Ridge Regression for Two Dimensional Locality Preserving Projection (RR-2DLPP) is proposed, which is an extension of 2D-LPP with the use of ridge regression, comparable to 2D -LPP in performance whilst having a lower computational cost.

TL;DR: This paper provides a flexible, automated, and general purpose technique for generating the view information for each viewpoint and shows how occluding and nonoccluding edge-based features can be extracted using image processing techniques and then parametrized and also how regions of specularity can be predicted and described.

TL;DR: A survey by Curtin University on decision modelling is presented in this article, which covers the current understanding of how we make decisions, and points out our qualities, our weaknesses and the types of aids that could help us.

TL;DR: In this paper, the problem of estimating the running quantile of a data stream with non-stationary stochasticity when the memory for storing observations is limited is addressed.

TL;DR: This report argues that discriminatory methods are fundamentally ill-suited for the classification of cancer and proposes an established surveillance method that detects anomalous samples based on their deviation from a learned normal steady-state structure, which can create an anomaly detector for tissue transcriptomes, a “tissue detector” that is capable of identifying cancer without ever seeing a single cancer example.