Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Krishnamurthy Viswanathan"'
Autor:
Manan Shah, Zhen Li, Chen Sun, Ariel Fuxman, Chao Jia, Krishnamurthy Viswanathan, Aleksei Timofeev, Chun-Ta Lu
Publikováno v:
CIKM
Image classification models take image pixels as input and predict labels in a predefined taxonomy. While contextual information (e.g. text surrounding an image) can provide valuable orthogonal signals to improve classification, the typical setting i
Publikováno v:
IEEE Transactions on Information Theory. 59:526-545
We propose a sequence of universal denoisers motivated by the goal of extending the notion of twice-universality from universal data compression theory to the sliding window denoising setting. Given a sequence length n and a denoiser, the kth-order r
Publikováno v:
ISIT
In the spirit of results on universal compression, we compare the performance of universal denoisers on discrete memoryless channels to that of the best performance obtained by an omniscient kth-order sliding-window denoiser, namely, one that is tune
Publikováno v:
IEEE Transactions on Information Theory. 54:2243-2262
In many applications, an uncompressed source stream is systematically encoded by a channel code (which ignores the source redundancy) for transmission over a discrete memoryless channel. The decoder knows the channel and the code but does not know th
Autor:
Krishnamurthy Viswanathan, Ron M. Roth
Publikováno v:
IEEE Transactions on Information Theory. 54:1050-1060
The Gale-Berlekamp (in short, GB) code is the dual code of the binary product code in which the horizontal and vertical constituent codes are both the parity code. It is shown that the problem of deciding whether there is a codeword of the GB code wi
Autor:
Jim Pruyne, Tere Gonzalez, Krishnamurthy Viswanathan, Fei Chen, Mijung Kim, Jun Li, Manish Marwah
Publikováno v:
SIGMOD Conference
Hadoop and its variants have been widely used for processing large scale analytics tasks in a cluster environment. However, use of a commodity cluster for analytics tasks needs to be reconsidered based on two key observations: (1) in recent years, la
Publikováno v:
ISIT
We consider the problem of lossy estimation of an arbitrary smooth function of correlated data in a stream. In this problem, a user sequentially observes correlated random variables and wants to construct an estimate of the specified function so that
Publikováno v:
ISIT
We study the binary deletion channel where each input bit is independently deleted according to a fixed probability. We relate the conditional probability distribution of the output of the deletion channel given the input to the hidden pattern matchi
Autor:
Vanish Talwar, Wade J. Satterfield, Greg Macdonald, Krishnamurthy Viswanathan, Lakshminarayan Choudur, Chengwei Wang
Publikováno v:
NOMS
Data centers are growing in size and complexity driven by trends such as cloud computing and on-line services. Such large data centers pose several challenges for system management. Key among them is anomaly detection which is required to monitor and
Autor:
Sastry Dhulipala, Krishnamurthy Viswanathan, Paul Helm, Sunil Manjunath, Sangamesh Bellad, Ming Hao, Ravigopal Vennelakanti, Anil Dev, Umeshwar Dayal, Lakshminarayan Choudur, Chetan Gupta
Publikováno v:
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data.
In this paper, we present our Live Operational Intelligence (LOI) framework for developing, deploying, and executing applications that mine and analyze large amounts of data collected from multiple data sources to help operations staff take more info