Zobrazeno 1 - 10
of 80 528
pro vyhledávání: '"Doğan, A."'
In most applications, robots need to adapt to new environments and be multi-functional without forgetting previous information. This requirement gains further importance in real-world scenarios where robots operate in coexistence with humans. In thes
Externí odkaz:
http://arxiv.org/abs/2411.05549
Autor:
Flemotomos, Nikolaos, Hsiao, Roger, Swietojanski, Pawel, Hori, Takaaki, Can, Dogan, Zhuang, Xiaodan
Neural contextual biasing allows speech recognition models to leverage contextually relevant information, leading to improved transcription accuracy. However, the biasing mechanism is typically based on a cross-attention module between the audio and
Externí odkaz:
http://arxiv.org/abs/2411.00664
Autor:
Bond, Andrew, Dogan, Zafer
Subspace learning is a critical endeavor in contemporary machine learning, particularly given the vast dimensions of modern datasets. In this study, we delve into the training dynamics of a single-layer GAN model from the perspective of subspace lear
Externí odkaz:
http://arxiv.org/abs/2411.00498
We introduce a dynamic spatiotemporal volatility model that extends traditional approaches by incorporating spatial, temporal, and spatiotemporal spillover effects, along with volatility-specific observed and latent factors. The model offers a more g
Externí odkaz:
http://arxiv.org/abs/2410.16526
Autor:
Park, Jiyoung, Doğan, Günay
One of the fundamental problems in computer vision is image segmentation, the task of detecting distinct regions or objects in given images. Deep Neural Networks (DNN) have been shown to be very effective in segmenting challenging images, producing c
Externí odkaz:
http://arxiv.org/abs/2410.14017
Disjointness checks are among the most important constraint checks in a knowledge base and can be used to help detect and correct incorrect statements and internal contradictions. Wikidata is a very large, community-managed knowledge base. Because of
Externí odkaz:
http://arxiv.org/abs/2410.13707
Autor:
Dogangun, Fatih, Bahar, Serdar, Yildirim, Yigit, Temir, Bora Toprak, Ugur, Emre, Dogan, Mustafa Doga
As robotics continue to enter various sectors beyond traditional industrial applications, the need for intuitive robot training and interaction systems becomes increasingly more important. This paper introduces Robotic Augmented Reality for Machine P
Externí odkaz:
http://arxiv.org/abs/2410.13412
Robust classification of the operational environment of wireless devices is becoming increasingly important for wireless network optimization, particularly in a shared spectrum environment. Distinguishing between indoor and outdoor devices can enhanc
Externí odkaz:
http://arxiv.org/abs/2410.13159
Materials scientists utilize image segmentation of micrographs to create large curve ensembles representing grain boundaries of material microstructures. Observations of these collections of shapes can facilitate inferences about material properties
Externí odkaz:
http://arxiv.org/abs/2410.12994
Autor:
Lien, Jaime, Olascoaga, Laura I. Galindez, Dogan, Hasan, Gillian, Nicholas, Barbello, Brandon, Giusti, Leonardo, Poupyrev, Ivan
The objective of this work is to develop an AI foundation model for physical signals that can generalize across diverse phenomena, domains, applications, and sensing apparatuses. We propose a phenomenological approach and framework for creating and v
Externí odkaz:
http://arxiv.org/abs/2410.14724