Results 111 to 120 of about 6,752,036 (307)
IEEE Access, 2018 Nonnegative sparse representation has become highly popular in certain applications in the context of signals and corresponding dictionaries that have nonnegative limitations.
Benying Tan +3 more
doaj +1 more source
Face Recognition Using Dictionary Learning Algorithms
, 2019 Face recognition is one of the most challenging and important topics in computer vision, pattern recognition and image processing. It has experienced a recent advance by using dictionary learning algorithms.
Khalili, Mohammad Mehdi
core
Advanced Intelligent Systems, EarlyView.Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin +4 more
wiley +1 more source
Dynamic Structured Discriminant Dictionary Pair Learning for Pattern Classification
IEEE AccessDiscriminative analysis-synthesis dictionary pair learning is effective for pattern classification. However, most methods use the graph preserving criterion to transmit the local structure relationships of samples, which weaken the performance and ...
Yonghao Zhang +3 more
doaj +1 more source
Learning Kernel-Based Robust Disturbance Dictionary for Face Recognition
Applied Sciences, 2019 In this paper, a kernel-based robust disturbance dictionary (KRDD) is proposed for face recognition that solves the problem in modern dictionary learning in which significant components of signal representation cannot be entirely covered.
Biwei Ding, Hua Ji
doaj +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Advanced Intelligent Systems, EarlyView.Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
Online discriminative dictionary learning via label information for multi task object tracking
, 2014 In this paper, a supervised approach to online learn a structured sparse and discriminative representation for object tracking is presented. Label information from training data is incorporated into the dictionary learning process to construct a compact ...
Fan BJ(范保杰) +3 more
core
Parametric dictionary design for sparse coding [PDF]
, 2009 —This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M. +5 more
core
ADL: Active dictionary learning for sparse representation
, 2017 Using dictionary atoms to reconstruct input vectors is of great interest in spare representation. However, a key challenge is how to find a proper dictionary.
Man, Hong +7 more
core +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source