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Institution

International Institute of Information Technology, Hyderabad

EducationHyderabad, India
About: International Institute of Information Technology, Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Computer science & Authentication. The organization has 2048 authors who have published 3677 publications receiving 45319 citations. The organization is also known as: IIIT Hyderabad & International Institute of Information Technology (IIIT).


Papers
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Proceedings ArticleDOI
01 Oct 2014
TL;DR: This paper describes a CRF based token level language identification system entry to Language Identification in CodeSwitched Data task of CodeSwitch 2014 that hinges on using conditional posterior probabilities for the individual codes (words) in code-switched data to solve the language identification task.
Abstract: This paper describes a CRF based token level language identification system entry to Language Identification in CodeSwitched (CS) Data task of CodeSwitch 2014. Our system hinges on using conditional posterior probabilities for the individual codes (words) in code-switched data to solve the language identification task. We also experiment with other linguistically motivated language specific as well as generic features to train the CRF based sequence labeling algorithm achieving reasonable results.

22 citations

Journal ArticleDOI
TL;DR: A Dempster–Shafer theory based CED is proposed in the presence of NU with heterogeneous sensors and it is shown that the proposed scheme outperforms the traditional sum fusion rule in terms of detection performance as well as the location of SNR wall.
Abstract: The analyzed system model in this paper is a distributed parallel detection network in which each secondary user (SU) evaluates the energy-based test statistic from the received observations and sends it to a fusion center (FC), which makes the final decision. Uncertainty in the noise variance at each SU is modeled as an unknown constant in a certain interval around the nominal noise variance. It is assumed that the SUs are heterogeneous in that the nominal noise variances and the uncertainty intervals can be different for different SUs. Moreover, the received signal power at each SU may be different. For the considered system model, the paper presents important results for two inter-related themes on cooperative energy detection (CED) in the presence of noise uncertainty (NU). First, the expressions for generalized signal-to-noise ratio (SNR) walls are derived for the classical CED fusion rule, i.e., sum of energies from all SUs. Second, a Dempster–Shafer theory based CED is proposed in the presence of NU with heterogeneous sensors. In the proposed scheme, the test statistic from each SU is the energy-based basic mass assignment values, which are first discounted depending on the uncertainty level associated with the SU and then fused at the FC using the Dempster rule of combination to arrive at the global decision. It is shown that the proposed scheme outperforms the traditional sum fusion rule in terms of detection performance as well as the location of SNR wall.

22 citations

Journal ArticleDOI
TL;DR: A population difference in normal pupil size influencing color observation which was exposed by the dress suggests a possible difference in light perception influencing pupil size.
Abstract: The fundamental question that arises from the color conundrum of #thedress is "What are the phenomena that underlie the individual differences in the reported colors when all other conditions like light and device for the display are identical?" A survey of 384 participants showed near-equal distribution into blue/black (b/b) and white/gold (w/g) groups. We looked at pupil size differences in a sample population of 53 individuals from these two groups and a group that switched from w/g to b/b. Our results showed that the w/g and switch groups had significantly lower pupil size than the b/b group (w/g

22 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed two new centralized coded caching schemes with low subpacketization and moderate rate gains utilizing projective geometries over finite fields, which achieve the same asymptotic subpacketsization, which is exponential in O((log {K})^{2})$ for some positive integer r and K being the number of users.
Abstract: Large gains in the rate of cache-aided broadcast communication are obtained using coded caching, but to obtain this most existing centralized coded caching schemes require that the files at the server be divisible into a large number of parts (this number is called subpacketization). In fact, most schemes require the subpacketization to be growing asymptotically as exponential in $\sqrt [\leftroot {-1}\uproot {1}{r}]{{K}}$ for some positive integer r and K being the number of users. On the other extreme, few schemes having subpacketization linear in K are known; however, they require large number of users to exist, or they offer only little gain in the rate. In this work, we propose two new centralized coded caching schemes with low subpacketization and moderate rate gains utilizing projective geometries over finite fields. Both the schemes achieve the same asymptotic subpacketization, which is exponential in ${O}((\log {K})^{2})$ (thus improving on the $\sqrt [\leftroot {-1}\uproot {1}{r}]{{K}}$ exponent). The first scheme has a larger cache requirement but has at most a constant rate (with increasing K ), while the second has small cache requirement but has a larger rate. As a special case of our second scheme, we get a new linear subpacketization scheme, which has a more flexible range of parameters than the existing linear subpacketization schemes. Extending our techniques, we also obtain low subpacketization schemes for other multi-receiver settings such as distributed computing and the cache-aided interference channel. We validate the performance of all our schemes via extensive numerical comparisons. For a special class of symmetric caching schemes with a given subpacketization level, we propose two new information theoretic lower bounds on the optimal rate of coded caching.

22 citations

Proceedings Article
10 May 2009
TL;DR: A fast multi-robotic exploration methodology for 2D and 3D terrains with an asynchronous exploration strategy is introduced which shows significant improvements over the existing synchronous ones and a per-time visibility metric is being utilized by the algorithm.
Abstract: We present a fast multi-robotic exploration methodology for 2D and 3D terrains. An asynchronous exploration strategy is introduced which shows significant improvements over the existing synchronous ones. A per-time visibility metric is being utilized by the algorithm. The metric allots the same weight for points for next view whose visibility over time ratios are equal. The outcome of this is that while the number of points visited to explore a terrain is nearly the same as other popular metrics found in literature, the time length of the paths are smaller in this case resulting in reduced time exploration. The results have been verified through extensive simulations in 2D and 3D. In 2D multiple robots explore unknown terrains that are office like, cluttered, corridor like and various combinations of these. In 3D we consider the case of multiple UAVs exploring a terrain represented as height fields. We introduce a way for calculating expected visibilities and a way of incorporating explored features in the per-time metric. The maximum height of the UAV at each location is governed by the so called exposure surface, beneath which the UAVs are constrained to fly. We also show performance gain of the present metric over others in experiments on a Pioneer 3DX robot.

22 citations


Authors

Showing all 2066 results

NameH-indexPapersCitations
Ravi Shankar6667219326
Joakim Nivre6129517203
Aravind K. Joshi5924916417
Ashok Kumar Das562789166
Malcolm F. White5517210762
B. Yegnanarayana5434012861
Ram Bilas Pachori481828140
C. V. Jawahar454799582
Saurabh Garg402066738
Himanshu Thapliyal362013992
Monika Sharma362384412
Ponnurangam Kumaraguru332696849
Abhijit Mitra332407795
Ramanathan Sowdhamini332564458
Helmut Schiessel321173527
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202229
2021373
2020440
2019367
2018364