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- Dynamic Downsampling Algorithm for 3D Point Cloud Map Based on Voxel Filtering76
A dynamic downsampling algorithm based on an improved voxel filtering approach for 3D point cloud maps based on an improved voxel filtering approach is presented, which demonstrates faster downsampling speed and improved overall performance.
- Visual tracking via exemplar regression model32
This paper demonstrates that, by giving a very simple positive-negative prior knowledge for the training samples, the performance of the ridge regression model can be improved by a large margin, even better than its frequency domain competitors-the correlation filters, on most challenging sequences.
- Visual object tracking with online sample selection via lasso regularization24
This work proposes a score function to predict the optimal candidate directly instead of learning a classifier to address the drift problem and designs a sparsity-constrained sample selection strategy to choose some representative support samples from the large number of training samples on the updating stage.
- Visual object tracking via coefficients constrained exclusive group LASSO13
This work proposes an effective method to learn a discriminative template, which maintains the multiple appearances information of targets in the long-term variations, and proposes exclusive group sparse to describe the observation and provides a novel algorithm, called coefficients constrained exclusive group LASSO, to solve it in a single objective function.
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- LR-Auth: Towards Practical Implementation of Implicit User Authentication on Earbuds10
LR-Auth utilizes the modulation of sound frequencies by the user's unique occluded ear canal, generating user-specific templates through linear correlations between two audio streams instead of complex machine-learning models, which significantly reduces system overhead.
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- DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers6
This paper introduces DiTMoS, a novel DNN training and inference framework with a selector-classifiers architecture, where the selector routes each input sample to the appropriate classifier for classification, and proposes a network slicing technique to alleviate the extra memory overhead incurred by feature aggregation.
- Adaptive Distributed Load Balancing Routing Mechanism for LEO Satellite IP Networks4
An Adaptive Distributed Load Balancing Routing Mechanism (ADLB) is proposed in this paper to address the above-mentioned issues and it is demonstrated that the scheme can provide better throughput and lower packet drop rate.
- An Entity-Relation Joint Extraction Method Based on Two Independent Sub-Modules From Unstructured Text3
This paper proposes an entity-relation joint extraction model comprising two independent sub-modules: one for extracting the head entity and the other for extracts the tail entity and its corresponding relation, and achieves state-of-the-art performance on WebNLG, NYT, WebNLg*, and NYT* public benchmarks.
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- PPG-Sport: A Dataset for Reliable Heart Rate Monitoring from Wrist PPG Under Dynamic Sports Conditions2
PPG-Sport is introduced, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions, and a deep-learning-based benchmark is established that combines both temporal and spectral representations of PPG and IMU signals to evaluate heart rate estimation performance.
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- Analysis about Change of the Armature's Average Speed for an Experimental Rail Launcher2
The armature velocity of an experimental electromagnetic launcher is measured by B‐dot method and the change of the armature's average speed is analyzed and it is found that there was an unexpected rise during the real launching process.
- A trimming technique for capacitive SAR ADC as sensor interface2
A trimming technique and algorithm applied in a capacitive successive approximation register (SAR) analog to digital converter (ADC) for a sensor interface, which can be integrated with the preceding sensor and the following controlling circuit, keeping a 12-bit resolution by trimming the capacitor array.
- RETRACTED: Navigation Strategy with the Aid of the Theater Positioning System2
The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused and follows COPE's Retraction Guidelines.
- PPG-IDR: Leveraging User Identity for Robust Cross-user PPG Sensing via Disentangled Representations1
PPG-IDR (Identity Disentangled Representations), a framework designed to disentangle medical physiological features from identity-specific information, is proposed and evaluated, demonstrating that PPG-IDR consistently outperforms strong baselines in unseen-user scenarios.
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- A Speech Adversarial Sample Detection Method Based on Manifold Learning1
Using manifold learning technology, a method is proposed to detect whether a speech input is an adversarial sample before feeding it into the recognition model, thereby preventing adversarial attacks without affecting model robustness.
- Service analysis and optimization program of LAN based on OPNET1
This article is in the background of LAN optimize and upgrade, using OPNET simulation software for network modeling, analyze performance to the main service of the network (email, http, ftp), and put forward some reasonable network optimization proposes so as to solve the LAN upgrade the practical problems faced.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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