Results 191 to 200 of about 18,574 (304)
Equivariant toric geometry and Euler–Maclaurin formulae
Abstract We first investigate torus‐equivariant motivic characteristic classes of toric varieties, and then apply them via the equivariant Riemann–Roch formalism to prove very general Euler–Maclaurin‐type formulae for full‐dimensional simple lattice polytopes.
Sylvain E. Cappell +3 more
wiley +1 more source
Vector quantization applied to the compression of voice and image signals.
Francisco Madeiro. BERNARDINO JÚNIOR
openalex +1 more source
Large language models for bioinformatics
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan +54 more
wiley +1 more source
Chern Vector Protected Three-dimensional Quantized Hall Effect [PDF]
Zhiqiang Zhang +5 more
openalex +1 more source
Channel-Optimized Vector Quantizer Design for Compressed Sensing\n Measurements [PDF]
Amirpasha Shirazinia +2 more
openalex +1 more source
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang +4 more
wiley +1 more source
Solving the p-Median Problem with Insights from Discrete Vector Quantization
Gino J. Lim, Allen Holder, Josh Reese
openalex +1 more source
Review of: "Remote Inference Over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization" [PDF]
Arda Yurdakul
openalex +1 more source
ABSTRACT Wind energy's intermittency poses significant challenges for power grid stability. Existing forecasting methods exhibit notable limitations: traditional machine learning models struggle with long‐term temporal dependencies, while deep learning approaches often overlook spatial relationships among turbines.
YuChen Zhang
wiley +1 more source

