Risultati della ricerca - (endedededededededededededededededededededededededecoding OR encoding) (algorithmics OR algorithm)

Canonical Labeling of Latin Squares in Average‐Case Polynomial Time di Michael J. Gill, Adam Mammoliti, Ian M. Wanless

Sommario: “... present a canonical labeling algorithm for Latin squares of order that runs in average time bounded by a...”
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Generalized tensor transforms and their applications in classical and quantum computing di Shukla, Alok, Vedula, Prakash

Sommario: “... classical algorithm for GTT achieves an exponentially lower complexity of $O(N \log_b N)$ in comparison to a...”
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DNA Tails for Molecular Flash Memory di Sima, Jin, Pan, Chao, Tabatabaei, S. Kasra, Hernandez, Alvaro G., Schroeder, Charles M., Milenkovic, Olgica

Sommario: “... and accompanying encoding and decoding algorithms. ...”
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Activation Quantization of Vision Encoders Needs Prefixing Registers di Kim, Seunghyeon, Yeom, Taesun, Kim, Jinho, Park, Wonpyo, Kim, Kyuyeun, Lee, Jaeho

Sommario: “...Large pretrained vision encoders are central to multimodal intelligence, powering applications from...”
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An Encoding Framework for Binarized Images using HyperDimensional Computing di Smets, Laura, Van Leekwijck, Werner, Tsang, Ing Jyh, Latré, Steven

Sommario: “... is computationally less complex than traditional deep learning algorithms and typically achieves moderate to good...”
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Universal Representations for Classification-enhanced Lossy Compression di Nguyen, Nam

Sommario: “... has traditionally guided algorithm design. However, Blau and Michaeli [5] introduced a generalized...”
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Quantum Anomaly Detection with a Spin Processor in Diamond di Chai, Zihua, Liu, Ying, Wang, Mengqi, Guo, Yuhang, Shi, Fazhan, Li, Zhaokai, Wang, Ya, Du, Jiangfeng

Sommario: “... are essential for many tasks. Quantum machine learning algorithms can not only deal with the quantum states...”
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Low-rank cross approximation of function-valued tensors for reduced-order modeling of parametric PDEs di Budzinskiy, Stanislav, Kazeev, Vladimir, Olshanskii, Maxim

Sommario: “... for function-valued tensors. An adaptive cross-approximation algorithm is developed to compute low-rank...”
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Quantum Approximate Optimization Algorithm with Cat Qubits di Vikstål, Pontus, García-Álvarez, Laura, Puri, Shruti, Ferrini, Giulia

Sommario: “...The Quantum Approximate Optimization Algorithm (QAOA) -- one of the leading algorithms...”
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Empirical Sample Complexity of Neural Network Mixed State Reconstruction di Zhao, Haimeng, Carleo, Giuseppe, Vicentini, Filippo

Sommario: “... of the algorithms by applying variance reduction techniques. Then, we compare the two leading neural quantum state...”
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Understanding fitness landscapes in morpho-evolution via local optima networks di Thomson, Sarah L., Goff, Léni K. Le, Hart, Emma, Buchanan, Edgar

Sommario: “... to maximise performance given a task and environment. Many genetic encodings have been proposed which...”
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SilentCipher: Deep Audio Watermarking di Singh, Mayank Kumar, Takahashi, Naoya, Liao, Weihsiang, Mitsufuji, Yuki

Sommario: “...In the realm of audio watermarking, it is challenging to simultaneously encode imperceptible...”
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MeshFeat: Multi-Resolution Features for Neural Fields on Meshes di Mahajan, Mihir, Hofherr, Florian, Cremers, Daniel

Sommario: “...Parametric feature grid encodings have gained significant attention as an encoding approach...”
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High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets di Li, Jian, Xu, Bowen, Schwertfeger, Sören

Sommario: “...Robotic datasets are important for scientific benchmarking and developing algorithms, for example...”
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Adaptive Base Representation Theorem: An Alternative to Binary Number System di Kumar, Ravin

Sommario: “..., $n$, as the binary encoding. Theoretical foundations and mathematical formulations demonstrate...”
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Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification di Hoang, Anh T., Viharos, Zsolt J.

Sommario: “... predictions from diverse datasets. Traditional machine learning algorithms rely on well-defined input...”
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Quantum Architecture Search with Unsupervised Representation Learning di Sun, Yize, Wu, Zixin, Tresp, Volker, Ma, Yunpu

Sommario: “... circuits for Variational Quantum Algorithms (VQAs). Most QAS algorithms tightly couple the search space...”
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Deep Mapper: Efficient Visualization of Plausible Conformational Pathways di Oulhaj, Ziyad, Ishii, Yoshiyuki, Ohga, Kento, Yamazaki, Kimihiro, Wada, Mutsuyo, Umeda, Yuhei, Kato, Takashi, Wada, Yuichiro, Kurihara, Hiroaki

Sommario: “...-encoding of the space of 3D density maps associated to protein conformations. However, our preliminary...”
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Event-based reconstruction of time-resolved centreline deformation of flapping flags di Raynaud, Gaetan, Mulleners, Karen

Sommario: “.... Event-based cameras output unstructured data that frame-based algorithms can not process. This paper...”
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Forming Coordinated Teams that Balance Task Coverage and Expert Workload di Vombatkere, Karan, Terzi, Evimaria, Gionis, Aristides

Sommario: “... of this problem, where the experts are organized into a graph, which encodes how well they work together...”
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