Results 71 to 80 of about 38,175 (260)

Sparsey^TM: Spatiotemporal Event Recognition via Deep Hierarchical Sparse Distributed Codes

open access: yesFrontiers in Computational Neuroscience, 2014
The visual cortex’s hierarchical, multi-level organization is captured in many biologically inspired computational vision models, the general idea being that progressively larger scale (spatially/temporally) and more complex visual features are ...
Gerard J Rinkus
doaj   +1 more source

LOW-DIMENSIONAL STRUCTURES: SPARSE CODING FOR NEURONAL ACTIVITY [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2013
Neuronal ensemble activity codes working memory. In this work, we developed a neuronal ensemble sparse coding method, which can effectively reduce the dimension of the neuronal activity and express neural coding.
YUNHUA XU, WENWEN BAI, XIN TIAN
doaj   +1 more source

Consensus Convolutional Sparse Coding [PDF]

open access: yes2017 IEEE International Conference on Computer Vision (ICCV), 2017
Convolutional sparse coding (CSC) is a promising direction for unsupervised learning in computer vision. In contrast to recent supervised methods, CSC allows for convolutional image representations to be learned that are equally useful for high-level vision tasks and low-level image reconstruction and can be applied to a wide range of tasks without ...
Biswarup Choudhury   +4 more
openaire   +2 more sources

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

open access: yesAdvanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen   +11 more
wiley   +1 more source

Low-density parity-check codes based on sparse binary sequences

open access: yesTongxin xuebao, 2005
A novel and simple construction of regular LDPC codes was proposed, which used sparse binary sequences, through studying construction methods of LDPC codes.
HE Shan-bao   +3 more
doaj   +2 more sources

Unlocking Exceptional Strengthening in Aluminum Alloys via Interstitial Cottrell Atmosphere Formation

open access: yesAdvanced Functional Materials, EarlyView.
Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee   +10 more
wiley   +1 more source

Vorticity‐Driven µ‐Platelet Rotation and Selective Packing for Vertical Thermal–Electrical Interconnects

open access: yesAdvanced Functional Materials, EarlyView.
We introduce a capillary‐filtering‐based particle‐filling (CFPF) process that simultaneously forms vertical thermal pathways and electrical vias within µ‐pores. In situ microfluidic analysis reveals that capillary‐driven velocity gradients generate vorticity that governs µ‐platelet rotation and vertical alignment.
Yujin Mun   +11 more
wiley   +1 more source

Janus Photonic Graphics by Stratified Assembly of Two Distinct Colloids

open access: yesAdvanced Functional Materials, EarlyView.
Double‐sided Janus photonic micropatterns with vivid structural colors are fabricated through a single‐step bottom‐up strategy. Density‐driven stratification and depletion‐mediated crystallization of PMMA and PS binary colloids lead to exclusive lattices on opposite surfaces under centrifugal force.
Young Geon Kim   +4 more
wiley   +1 more source

Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

open access: yesSensors, 2017
The multi-source cooperation integrating distributed low-density parity-check codes is investigated to jointly collect data from multiple sensor nodes to the mobile sink in the wireless sensor network.
Changcai Han, Jinsheng Yang
doaj   +1 more source

Sparse Coding with Invariance Constraints [PDF]

open access: yes, 2003
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set of basis feature vectors and invariance transformations, from each basis feature a family of transformed features is generated.
Heiko Wersing   +2 more
openaire   +1 more source

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