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Semantic Analysis of Web Pages for Task-based Personal Web Interactions
(2017-11-27)
Mobile widgets now form a new paradigm of simplified web. Probably, the best experience of the Web is when a user has a widget for every frequently executed task, and can execute it anytime, anywhere on any device. However, ...
Kernel Methods Fast Algorithms and real life applications
(Indian Institute of Science, 2005-02-08)
Support Vector Machines (SVM) have recently gained prominence in the field of machine learning and pattern classification (Vapnik, 1995, Herbrich, 2002, Scholkopf and Smola, 2002). Classification is achieved by finding a ...
ACE-Model: A Conceptual Evolutionary Model For Evolutionary Computation And Artificial Life
(Indian Institute of Science, 2005-02-07)
Darwinian Evolutionary system - a system satisfying the abstract conditions: reproduction with heritable variation, in a finite world, giving rise to Natural Selection encompasses a complex and subtle system of interrelated ...
Hierarchical Data Structures for Pattern Recognition
(Indian Institute of Science, 2005-02-22)
Pattern recognition is an important area with potential applications in computer vision, Speech understanding, knowledge engineering, bio-medical data classification, earth sciences, life sciences, economics, psychology, ...
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is
inherent in many naturally arising computational problems. However, it is often the case that
the task of solving the approximation ...
IO Pattern Aware Methods to Improve the Performance and Lifetime of NAND SSD
Modern SSDs can store multiple bits per transistor which enables it to have higher
storage capacities. Low cost per bit of such SSDs has made it a commercial success. As
of 2018, cells with an ability to store three bits ...
Algorithms for Multilingual IR in Low Resource Languages using Weakly Aligned Corpora
Multilingual information retrieval (MLIR) methods generally rely on linguistic resources such
as dictionaries, parallel corpora, etc., to overcome the language barrier. For low resource
languages without these resources, ...
Integrating Read-Copy-Update Synchronization and Memory Allocation
The evolution of multicore systems with thousands of cores has led to the exploration
of non-traditional procrastination-based synchronization techniques such as Read-Copy-
Update (RCU). Deferred destruction is the ...
High Performance GPU Tensor Core Code Generation for Matmul using MLIR
State of the art in high-performance deep learning is primarily driven by highly tuned libraries. These libraries are often hand-optimized and tuned by expert programmers using low-level abstractions with significant effort. ...
Analysis and Methods for Knowledge Graph Embeddings
Knowledge Graphs (KGs) are multi-relational graphs where nodes represent entities, and typed edges represent relationships among entities. These graphs store real-world facts such as (Lionel Messi, plays-for-team, Barcelona) ...