Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Paul, Manoranjan"'
With the great progress of 3D sensing and acquisition technology, the volume of point cloud data has grown dramatically, which urges the development of efficient point cloud compression methods. In this paper, we focus on the task of learned lossy po
Externí odkaz:
http://arxiv.org/abs/2410.17823
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
Previous studies have demonstrated the effectiveness of point-based neural models on the point cloud analysis task. However, there remains a crucial issue on producing the efficient input embedding for raw point coordinates. Moreover, another issue l
Externí odkaz:
http://arxiv.org/abs/2407.08994
Cardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, and hypertension. In cardiovascular diseases, heart failure is one of th
Externí odkaz:
http://arxiv.org/abs/2407.08289
Conventional feature selection algorithms applied to Pseudo Time-Series (PTS) data, which consists of observations arranged in sequential order without adhering to a conventional temporal dimension, often exhibit impractical computational complexitie
Externí odkaz:
http://arxiv.org/abs/2403.08403
Autor:
Horry, Michael James, Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Barua, Prabal Datta, Acharya, U. Rajendra, Chen, Fang, Zhou, Jianlong
Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer diagnosis. Suspicious nodules are difficult to distinguish from vascu
Externí odkaz:
http://arxiv.org/abs/2307.06547
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also increases, leading to the circuit complex. Therefore, efficient quantum im
Externí odkaz:
http://arxiv.org/abs/2306.12634
Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud. Most existing methods focus on designing efficient local feature extractors while ignoring global
Externí odkaz:
http://arxiv.org/abs/2304.14124
Quantum computing draws huge attention due to its faster computational capability compared to classical computing to represent and compress the classical image data into the quantum domain. The main idea of quantum domain representation is to convert
Externí odkaz:
http://arxiv.org/abs/2212.09222
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the quantum domain and state label preparation complexity is still a chal
Externí odkaz:
http://arxiv.org/abs/2212.07079