Mahima Publications

Featured Books

Lifelong, Learning-Augmented Robot Navigation

By Debashis Prasad

Leveraging Internet Background Radiation for Opportunistic Network Analysis

By Atul Bansal

Learning-Based Approaches for Trajectory Similarity Computation

By Vibhu Deshmukh

Learning with Limited Labeled Data

By Anand Kumari

Learning Visual Groupings and Representations With Minimal Human Labels

By Arpita Bhatia

Learning Toward Object Invariance Across Modalities

By Prithvi Krishnan

Learning to Learn with Gradients

By Anamika Bhattacharya

Learning to Calibrate Trust Through Explainability

By Hema Chandran

Learning Patterns with Kernels and Learning Kernels From Patterns

By Swapnil Oraon

Learning Augmented Optimization for Network Softwarization in 5G

By Vedant Pal

Latent Space Models of Plasmas: Virtual Metrology and Surrogate Plasma Models with Deep Generative Models

By Anika Vyas

Large-Scale Machine Learning Algorithms for Big Data

By Manpreet Pawar