Results 61 to 70 of about 151,397 (266)
Constrained Backtracking Matching Pursuit Algorithm for Image Reconstruction in Compressed Sensing
Image reconstruction based on sparse constraints is an important research topic in compressed sensing. Sparsity adaptive matching pursuit (SAMP) is a greedy pursuit reconstruction algorithm, which reconstructs signals without prior information of the ...
Xue Bi +5 more
doaj +1 more source
Scalable Greedy Algorithms for Transfer Learning
In this paper we consider the binary transfer learning problem, focusing on how to select and combine sources from a large pool to yield a good performance on a target task.
Caputo, Barbara +2 more
core +1 more source
A Non‐Reciprocal Architected Porous Medium
ABSTRACT In several fluid flow, energy‐dumping, and energy‐harvesting applications, a dominant flow direction or dominant resistance direction is desirable. In this study, we propose a simple modular geometry that doubles flow resistance in one direction relative to the opposite direction, while maintaining laminar viscous flow.
Clément Vezies +2 more
wiley +1 more source
The learning performance of the weak rescaled pure greedy algorithms
We investigate the regression problem in supervised learning by means of the weak rescaled pure greedy algorithm (WRPGA). We construct learning estimator by applying the WRPGA and deduce the tight upper bounds of the K-functional error estimate for the ...
Qin Guo, Xianghua Liu, Peixin Ye
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
On the effect of model mismatch for sequential Info-Greedy Sensing
We characterize the performance of sequential information-guided sensing (Info-Greedy Sensing) when the model parameters (means and covariance matrices) are estimated and inaccurate.
Ruiyang Song, Yao Xie, Sebastian Pokutta
doaj +1 more source
Approximation Bounds For Minimum Degree Matching [PDF]
We consider the MINGREEDY strategy for Maximum Cardinality Matching. MINGREEDY repeatedly selects an edge incident with a node of minimum degree. For graphs of degree at most $\Delta$ we show that MINGREEDY achieves approximation ratio at least $ \frac ...
Besser, Bert
core
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
Maximal frequent sequence based test suite reduction through DU-pairs
The current paper illustrates the importance of clustering the frequent items of code coverage during test suite reduction. A modular Most maximal frequent sequence clustered algorithm has been used along with a Requirement residue based test case ...
Narendra Kumar Rao Bangole +1 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

