Zobrazeno 1 - 10
of 1 735
pro vyhledávání: '"Rajshekhar, A. P."'
This paper presents a novel approach to solving convex optimization problems by leveraging the fact that, under certain regularity conditions, any set of primal or dual variables satisfying the Karush-Kuhn-Tucker (KKT) conditions is necessary and suf
Externí odkaz:
http://arxiv.org/abs/2410.15973
Unmanned Aerial Vehicles (UAVs), equipped with cameras, are employed in numerous applications, including aerial photography, surveillance, and agriculture. In these applications, robust object detection and tracking are essential for the effective de
Externí odkaz:
http://arxiv.org/abs/2410.11125
In next-generation wireless networks, low latency often necessitates short-length codewords that either do not use channel state information (CSI) or rely solely on CSI at the receiver (CSIR). Gaussian codes that achieve capacity for AWGN channels ma
Externí odkaz:
http://arxiv.org/abs/2409.08581
We consider the communication of natural language text from a source to a destination over noiseless and character-erasure channels. We exploit language's inherent correlations and predictability to constrain transmission costs by allowing the destin
Externí odkaz:
http://arxiv.org/abs/2403.00290
We consider a base station (BS) that receives version update packets from multiple exogenous streams and broadcasts them to corresponding users over a fading broadcast channel using a non-orthogonal multiple access (NOMA) scheme. Sequentially indexed
Externí odkaz:
http://arxiv.org/abs/2311.09975
Autor:
Raikar, Sumanth S, Bhat, Rajshekhar V
Timely sampling and fresh information delivery are important in 6G communications. This is achieved by encoding samples into short packets/codewords for transmission, with potential decoding errors. We consider a broadcasting base station (BS) that s
Externí odkaz:
http://arxiv.org/abs/2309.05974
The eXtreme Multi-label text Classification(XMC) refers to training a classifier that assigns a text sample with relevant labels from an extremely large-scale label set (e.g., millions of labels). We propose MatchXML, an efficient text-label matching
Externí odkaz:
http://arxiv.org/abs/2308.13139
The problem of packing smaller objects within a larger object has been of interest since decades. In these problems, in addition to the requirement that the smaller objects must lie completely inside the larger objects, they are expected to not overl
Externí odkaz:
http://arxiv.org/abs/2308.07335
Autor:
Das, Rajshekhar, Francis, Jonathan, Mehta, Sanket Vaibhav, Oh, Jean, Strubell, Emma, Moura, Jose
Self-training based on pseudo-labels has emerged as a dominant approach for addressing conditional distribution shifts in unsupervised domain adaptation (UDA) for semantic segmentation problems. A notable drawback, however, is that this family of app
Externí odkaz:
http://arxiv.org/abs/2305.00131
Autor:
Rajshekhar Chakraborty, Heloise Cheruvalath, Anannya Patwari, Aniko Szabo, Carolina Schinke, Binod Dhakal, Suzanne Lentzsch, Anita D’Souza, Ghulam Rehman Mohyuddin, Kelley Julian, Shonali Midha, Patrick Costello, Martin Kaiser, Melissa Ng Liet Hing, Simon J. Harrison, Edward R. Scheffer Cliff, Meera Mohan
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/53369213208e49198a15715a72be5982
