Institution
Techno India
About: Techno India is a based out in . It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 4724 authors who have published 4005 publications receiving 34112 citations.
Topics: Computer science, Cloud computing, Wireless sensor network, Deep learning, Ultimate tensile strength
Papers published on a yearly basis
Papers
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13 Sep 2021TL;DR: In this paper, a semi-supervised fashion prediction method is proposed to generate pseudo positive and negative outfits on-the-fly during the training process by matching each item in the labeled outfit with unlabeled items.
Abstract: We consider the problem of complementary fashion prediction. Existing approaches focus on learning an embedding space where fashion items from different categories that are visually compatible are closer to each other. However, creating such labeled outfits is intensive and also not feasible to generate all possible outfit combinations, especially with large fashion catalogs. In this work, we propose a semi-supervised learning approach where we leverage large unlabeled fashion corpus to create pseudo positive and negative outfits on the fly during training. For each labeled outfit in a training batch, we obtain a pseudo-outfit by matching each item in the labeled outfit with unlabeled items. Additionally, we introduce consistency regularization to ensure that representation of the original images and their transformations are consistent to implicitly incorporate colour and other important attributes through self-supervision. We conduct extensive experiments on Polyvore, Polyvore-D and our newly created large-scale Fashion Outfits datasets, and show that our approach with only a fraction of labeled examples performs on-par with completely supervised methods.
18 citations
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14 Mar 2016TL;DR: A novel method, Machine Learned Machines (MLM), is presented by using Online Reinforcement Learning (RL) to perform dynamic partitioning of the last level cache (LLC), along with dynamic voltage and frequency scaling (DVFS) of the core and uncore (interconnection network and LLC).
Abstract: Modern multicore architectures require runtime optimization techniques to address the problem of mismatches between the dynamic resource requirements of different processes and the runtime allocation. Choosing between multiple optimizations at runtime is complex due to the non-additive effects, making the adaptiveness of the machine learning techniques useful. We present a novel method, Machine Learned Machines (MLM), by using Online Reinforcement Learning (RL) to perform dynamic partitioning of the last level cache (LLC), along with dynamic voltage and frequency scaling (DVFS) of the core and uncore (interconnection network and LLC). We show that the co-optimization results in much lower energy-delay product (EDP) than any of the techniques applied individually. The results show an average of 19.6% EDP and 2.6% execution time improvement over the baseline.
18 citations
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TL;DR: The results obtained from this study suggest that the GES as a polyester dyeing medium can be a green approach in dyeing of polyester.
18 citations
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TL;DR: In this study, colorectal polyp detection was performed with colonoscopy video frames, with classification via J48 and Fuzzy, and the performance was better than with other current methods.
Abstract: Colonoscopy is currently the best technique available for the detection of colon cancer or colorectal polyps or other precursor lesions. Computer aided detection (CAD) is based on very complex pattern recognition. Local binary patterns (LBPs) are strong illumination invariant texture primitives. Histograms of binary patterns computed across regions are used to describe textures. Every pixel is contrasted relative to gray levels of neighbourhood pixels. In this study, colorectal polyp detection was performed with colonoscopy video frames, with classification via J48 and Fuzzy. Features such as color, discrete cosine transform (DCT) and LBP were used in confirming the superiority of the proposed method in colorectal polyp detection. The performance was better than with other current methods.
18 citations
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TL;DR: In this article, a correlation between iron dilution from the base metal and the micro hardness was established, and a new correlation between micro hardness and dilution coefficient was obtained at different locations.
18 citations
Authors
Showing all 4724 results
Name | H-index | Papers | Citations |
---|---|---|---|
Subir Sarkar | 149 | 1542 | 144614 |
Anil Kumar | 99 | 2124 | 64825 |
Gajendra P. S. Raghava | 66 | 326 | 16671 |
Raj Jain | 64 | 424 | 30018 |
James D. Herbsleb | 58 | 174 | 17862 |
Bhalchandra M. Bhanage | 55 | 550 | 12500 |
Panniyammakal Jeemon | 54 | 135 | 58676 |
Sandeep Singh | 52 | 670 | 11566 |
Bidyut B. Chaudhuri | 51 | 368 | 11368 |
Donald R. Baer | 51 | 244 | 10679 |
Chandra P. Sharma | 48 | 325 | 12100 |
Ravi Kumar | 48 | 719 | 10970 |
Nilanjan Dey | 48 | 475 | 9160 |
K. P. Ramesh | 47 | 391 | 7504 |
Sunil Luthra | 45 | 162 | 6485 |