Results 261 to 270 of about 1,132,072 (314)

Controlled Plasmonic Coupling in Silver Nanoplate Dimers for Enhanced Plasmonic Sensing. [PDF]

Nanomaterials (Basel)
Catanzaro L, Condorelli M, Pulvirenti M, D'urso L, Compagnini G.   +4 more
europepmc   +1 more source

Optimized inverse kinematics solutions for a 6-DOF robot. [PDF]

Sci Rep
Bayoume MO, Abdelgeliel M, Saber E, El-Gamal H.   +3 more
europepmc   +1 more source

Review of Optical Fiber and Integrated Photonic Sensors for Industry and Smart Manufacturing: Technologies, Applications, Structural Health Monitoring and AI-Enabled Sensing. [PDF]

Sensors (Basel)
Poulopoulos G, Avramopoulos H.
europepmc   +1 more source

Does Sound Timing Organization Matter? How Time Interval Influences the Perception of Closely Spaced Frequencies. [PDF]

Brain Sci
Liaukovich K, Martynova O.
europepmc   +1 more source

Cost-effectiveness of early intervention in psychosis in Latin America: economic evaluation of Chilean services. [PDF]

BJPsych Open
Aceituno D, Crossley NA, Jin H, Balmaceda C, Undurraga EA, Gonzalez-Valderrama A, McCrone P, Prina M, Pennington MW, ANDES Network.   +9 more
europepmc   +1 more source

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Kernelized Locality-Sensitive Hashing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Fast retrieval methods are critical for many large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance functions into a low-dimensional Hamming space where items can be efficiently searched.
Brian Kulis, Kristen Grauman
openaire   +2 more sources

Distributed Locality Sensitivity Hashing

2010 7th IEEE Consumer Communications and Networking Conference, 2010
In this paper, we present DLSH Distributed Locality Sensitive Hashing, a similar-data search technology. The huge growth in the size of video content has broken the traditional multi-media index hosting and look-up solutions, these are not able to scale to the size of the current and projected index requirements.
Smita Wadhwa, Pawan Gupta
openaire   +1 more source

In Defense of Locality-Sensitive Hashing

IEEE Transactions on Neural Networks and Learning Systems, 2018
Hashing-based semantic similarity search is becoming increasingly important for building large-scale content-based retrieval system. The state-of-the-art supervised hashing techniques use flexible two-step strategy to learn hash functions. The first step learns binary codes for training data by solving binary optimization problems with millions of ...
Kun Ding 0001, Chunlei Huo, Bin Fan 0001, Shiming Xiang, Chunhong Pan   +4 more
openaire   +2 more sources