Results 31 to 40 of about 1,866,673 (365)
Adaptive multistage vector quantization [PDF]
Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering', 2003 The authors present a novel multiple-stage vector-quantization method that allows the adaptation of the quantizer to the signal to be coded. This adaptation is computationally very simple and is made with no increase in bit rate. The resulting quantizer provides a robust performance across different speakers and environments. It has been applied to the
Rodríguez Fonollosa, José Adrián +1 more
openaire +3 more sources
IEEE Photonics Journal, 2019 In this paper, a two-dimensional (2-D) vector quantization with vector linear prediction (VLP-VQ) is proposed to improve the transmission performance of the digital mobile fronthaul (MFH).
Jia Ye +5 more
doaj +1 more source
On the use of self-organizing maps to accelerate vector quantization
, 2003 Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neighbor ones on a predefined grid.
Eric de Bodt +3 more
openalex +7 more sources
Invotek: Jurnal Inovasi Vokasional dan Teknologi, 2020 Penelitian ini bertujuan untuk memberikan rekomendasi dari hasil perbandingan antara metode jaringan syaraf tiruan menggunakan metode backpropagation dan learning vector quantization (LVQ) dalam melakukan pengenalan pola.
Yeka Hendriyani
doaj +1 more source
Light-cone quantization of scalar field on time-dependent backgrounds
European Physical Journal C: Particles and Fields, 2022 We discuss what is light-cone quantization on a curved spacetime also without a null Killing vector. Then we consider as an example the light-cone quantization of a scalar field on a background with a Killing vector and the connection with the second ...
Andrea Arduino, Igor Pesando
doaj +1 more source
Approximate Nearest Neighbor Search by Residual Vector Quantization
Sensors, 2010 A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its performance on unstructured vectors is limited.
Cheng Wang, Tao Guan, Yongjian Chen
doaj +1 more source
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search [PDF]
AAAI Conference on Artificial Intelligence, 2019 Vector quantization (VQ) techniques are widely used in similarity search for data compression, computation acceleration and etc. Originally designed for Euclidean distance, existing VQ techniques (e.g., PQ, AQ) explicitly or implicitly minimize the ...
XINYAN DAI +4 more
semanticscholar +1 more source
Results on lattice vector quantization with dithering [PDF]
, 1996 The statistical properties of the error in uniform scalar quantization have been analyzed by a number of authors in the past, and is a well-understood topic today. The analysis has also been extended to the case of dithered quantizers, and the advantages
Kiraç, Ahmet, Vaidyanathan, P. P.
core +1 more source
Jurnal Sarjana Teknik Informatika, 2019 Materi Learning vector quantization pada mata kuliah jaringan saraf tiruan bagi sebagian mahasiswa dirasa sulit untuk dipahami. Materi learning vector quantization dirasa sulit oleh mahasiswa pada soal penyelesaian langkah-langkah menentukan pengkodean ...
Cahyoko Hariya Pamilu, Ardi Pujiyanta
doaj +1 more source
Vector Quantization-Based Regularization for Autoencoders
AAAI Conference on Artificial Intelligence, 2020 Autoencoders and their variations provide unsupervised models for learning low-dimensional representations for downstream tasks. Without proper regularization, autoencoder models are susceptible to the overfitting problem and the so-called posterior ...
Hanwei Wu, M. Flierl
semanticscholar +1 more source