Copertina

VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Monir, Solmaz Seyed, Zhao, Dongfang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Databases Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
di: Monir, Solmaz Seyed, et al.
Pubblicazione: (2024)

QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling
di: Nti, Isaac Kofi
Pubblicazione: (2025)

Synthetic Tabular Data Detection In the Wild
di: Kindji, G. Charbel N., et al.
Pubblicazione: (2025)

Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
di: Kindji, G. Charbel N., et al.
Pubblicazione: (2025)

VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
di: Monir, Solmaz Seyed, et al.
Pubblicazione: (2024)

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
di: Abouras, Mohamed, et al.
Pubblicazione: (2026)

Cross-table Synthetic Tabular Data Detection
di: Kindji, G. Charbel N., et al.
Pubblicazione: (2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
di: Altmann, Philipp, et al.
Pubblicazione: (2024)

Can We Optimize Deep RL Policy Weights as Trajectory Modeling?
di: Tang, Hongyao
Pubblicazione: (2025)

Structural Equation-VAE: Disentangled Latent Representations for Tabular Data
di: Zhang, Ruiyu, et al.
Pubblicazione: (2025)

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
di: Yue, William, et al.
Pubblicazione: (2024)

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
di: van Stein, Niki, et al.
Pubblicazione: (2024)

SubStrat: A Subset-Based Strategy for Faster AutoML
di: Lazebnik, Teddy, et al.
Pubblicazione: (2022)

Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
di: Mukherji, Rishav, et al.
Pubblicazione: (2024)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
di: Zhao, Zhikai, et al.
Pubblicazione: (2025)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2024)

Fitness Approximation through Machine Learning
di: Tzruia, Itai, et al.
Pubblicazione: (2023)

Bridge the Inference Gaps of Neural Processes via Expectation Maximization
di: Wang, Qi, et al.
Pubblicazione: (2025)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
di: Eberhardinger, Manuel, et al.
Pubblicazione: (2024)

Stochastic Volatility Modelling with LSTM Networks: A Hybrid Approach for S&P 500 Index Volatility Forecasting
di: Perekhodko, Anna, et al.
Pubblicazione: (2025)

Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
di: Bossens, David M.
Pubblicazione: (2023)

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization
di: Tsakonas, Constantinos, et al.
Pubblicazione: (2025)

Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
di: Schöne, Mark, et al.
Pubblicazione: (2024)

Evolutionary Architecture Search through Grammar-Based Sequence Alignment
di: Martín, Adri Gómez, et al.
Pubblicazione: (2025)

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
di: Mousavi, S. Muhammad Hossein
Pubblicazione: (2025)

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
di: Laborieux, Axel, et al.
Pubblicazione: (2023)

Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs
di: Origer, Sebastien, et al.
Pubblicazione: (2024)

The Geometry of ReLU Networks through the ReLU Transition Graph
di: Dhayalkar, Sahil Rajesh
Pubblicazione: (2025)

Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
di: Vinhas, Adriano, et al.
Pubblicazione: (2024)

Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
di: Park, Sangjun, et al.
Pubblicazione: (2023)

Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
di: Espinosa, Raquel, et al.
Pubblicazione: (2023)

Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
di: Wang, Chen, et al.
Pubblicazione: (2025)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
di: Ludwig, Oswaldo
Pubblicazione: (2024)

Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing
di: Fulleda-Garcia, Alex, et al.
Pubblicazione: (2026)

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
di: Xu, Mingkun, et al.
Pubblicazione: (2024)

Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
di: Wang, Dianhui, et al.
Pubblicazione: (2024)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
di: Du, He, et al.
Pubblicazione: (2025)

Long-Sequence LSTM Modeling for NBA Game Outcome Prediction Using a Novel Multi-Season Dataset
di: Rios, Charles, et al.
Pubblicazione: (2025)

Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects
di: He, Hudi, et al.
Pubblicazione: (2026)