Results 111 to 120 of about 864,269 (299)
Reshaping Access Patterns for Generating Sparse Codes
, 1994 In a new approach to the development of sparse codes, the programmer defines a particular algorithm on dense matrices which are actually sparse. The sparsity of the matrices as indicated by the programmer is only dealt with at compile-time.
Peter M.W. Knijnenburg +2 more
core
A Decoding Algorithm for LDPC Codes Over Erasure Channels with Sporadic Errors [PDF]
, 2010 An efficient decoding algorithm for low-density parity-check (LDPC) codes on erasure channels with sporadic errors (i.e., binary error-and-erasure channels with error probability much smaller than the erasure probability) is proposed and its performance ...
Paolini, Enrico +9 more
core +1 more source
A Fast Sparse Coding Method for Image Classification
Applied Sciences, 2019 Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field.
Mujun Zang +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino +3 more
wiley +1 more source
, 2020 Matlab codes of eigenspace membership (EigMem) underdetermined source recovery algorithm. The proposed algorithm is capable of recovering the sparse sources from the mixtures given the mixing matrix using a subspace detection framework.
Ehsan Eqlimi, Bahador Makkiabadi
core +1 more source
Non-negative sparse coding [PDF]
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2003 Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this type of data representation and its relation to standard sparse coding and non-negative matrix factorization.
openaire +4 more sources
Advanced Materials Technologies, EarlyView.Bridging rigid electrodes with soft, irregular tissues demands more than conductivity alone. Modular conductive hydrogels autonomously reconfigure into conformal electrode‐tissue interfaces, coupling mixed ionic‐electronic conduction with tissue‐like mechanics, self‐healing, and degradability.
Matthew K. Burgess +4 more
wiley +1 more source
, 2020 Matlab codes of eigenspace membership (EigMem) underdeterminded source recovery algorithm. The proposed algorithm is capable of separating the sparse sources from the mixtures given the mixing matrix using a subspace detection framework.
Ehsan Eqlimi, Bahador Makkiabadi
core +1 more source
Robust sparse IQP sampling in constant depth [PDF]
QuantumBetween NISQ (noisy intermediate scale quantum) approaches without any proof of robust quantum advantage and fully fault-tolerant quantum computation, we propose a scheme to achieve a provable superpolynomial quantum advantage (under some widely accepted
Louis Paletta +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source