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Svetha Venkatesh

Researcher at Deakin University

Publications -  864
Citations -  20118

Svetha Venkatesh is an academic researcher from Deakin University. The author has contributed to research in topics: Bayesian optimization & Computer science. The author has an hindex of 60, co-authored 828 publications receiving 16441 citations. Previous affiliations of Svetha Venkatesh include Australian National University & National University of Singapore.

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Proceedings ArticleDOI

A distributed directory scheme for information access in mobile computers

TL;DR: The proposed directory interface enables users of mobile computers to view a distributed file system on a network of computers as a globally shared file system and proposes improvised invalidation schemes that avoid false sharing and ensure uninterrupted usage under disconnected and low bandwidth conditions.

Situation Description Language

TL;DR: This document provides details required by programmers or knowledge engineers intending to use the SDL system, a Situation Description Language intended for use in situation assessment problems.
Proceedings ArticleDOI

A fast kernel dimension reduction algorithm with applications to face recognition

TL;DR: This paper presents a novel dimensionality reduction algorithm for kernel based classification that outperforms the eigenface approach based on the principle component analysis (PCA), when the training data is complete, that is, representative of the whole dataset.
Journal ArticleDOI

Dirichlet process mixture models with pairwise constraints for data clustering

TL;DR: This paper proposes two relevant models which incorporate pairwise constraints in the Dirichlet process mixture model: the constrained DPM (C-DPM) and the constraint with selected constraints (SC-D PM), which can be potentially used for short-text clustering.
Journal ArticleDOI

Machine-learning prediction of cancer survival: A prospective study examining the impact of combining clinical and genomic data.

TL;DR: A large number of patients with cancer are receiving chemotherapy for at least two or more types of cancer, and the prognosis is complex and varies greatly depending on the type of cancer and the treatment.