Zobrazeno 1 - 10
of 15 201
pro vyhledávání: '"A-li Zhu"'
Learning representations with a high Probability of Necessary and Sufficient Causes (PNS) has been shown to enhance deep learning models' ability. This task involves identifying causal features that are both sufficient (guaranteeing the outcome) and
Externí odkaz:
http://arxiv.org/abs/2408.16577
This study investigates the acoustic features of sarcasm and disentangles the interplay between the propensity of an utterance being used sarcastically and the presence of prosodic cues signaling sarcasm. Using a dataset of sarcastic utterances compi
Externí odkaz:
http://arxiv.org/abs/2408.14892
We study the dynamics of the quantum battery capacity for the Bell-diagonal states under Markovian channels on the first subsystem. We show that the capacity increases for special Bell-diagonal states under amplitude damping channel. The sudden death
Externí odkaz:
http://arxiv.org/abs/2408.03797
To fill the gap of traditional GS compression method, in this paper, we first propose a simple and effective GS data compression anchor called Graph-based GS Compression (GGSC). GGSC is inspired by graph signal processing theory and uses two branches
Externí odkaz:
http://arxiv.org/abs/2407.14197
In recent years, Neural Radiance Fields (NeRF) have demonstrated significant advantages in representing and synthesizing 3D scenes. Explicit NeRF models facilitate the practical NeRF applications with faster rendering speed, and also attract consider
Externí odkaz:
http://arxiv.org/abs/2407.08165
We study theoretical properties of a broad class of regularized algorithms with vector-valued output. These spectral algorithms include kernel ridge regression, kernel principal component regression, various implementations of gradient descent and ma
Externí odkaz:
http://arxiv.org/abs/2405.14778
Gaussian splatting, renowned for its exceptional rendering quality and efficiency, has emerged as a prominent technique in 3D scene representation. However, the substantial data volume of Gaussian splatting impedes its practical utility in real-world
Externí odkaz:
http://arxiv.org/abs/2404.09458
Low-light conditions and occluded scenarios impede object detection in real-world Internet of Things (IoT) applications like autonomous vehicles and security systems. While advanced machine learning models strive for accuracy, their computational dem
Externí odkaz:
http://arxiv.org/abs/2402.07894
Cells not only have self-motility by crawling but are also capable of other types of active motions like periodic contraction or pulsation. In this work, by using the Voronoi cell model, we show how this non-motility activity affects the structure, d
Externí odkaz:
http://arxiv.org/abs/2402.02981
We present the first optimal rates for infinite-dimensional vector-valued ridge regression on a continuous scale of norms that interpolate between $L_2$ and the hypothesis space, which we consider as a vector-valued reproducing kernel Hilbert space.
Externí odkaz:
http://arxiv.org/abs/2312.07186