Abstract: Segmentation of handwritten input into individual characters is a crucial step in many connected handwriting recognition systems. This paper describes a segmentation algorithm for letters in ...

Abstract: Accurate segmentation of breast masses plays a crucial role in computer-aided mammography screening systems. In this paper, an improved algorithm based on dynamic programming is proposed for ...

The duration-penalized dynamic programming (DPDP) algorithms operate on the output vector quantized (VQ) models. The (pre-)quantized representations and code indices should be provided in the exp/ ...

Dynamic programming and greedy algorithms are two powerful techniques that can help you solve complex coding problems efficiently. In this article, you will learn what they are, how they differ ...

This describes how we can complete the calculations from our brute-force example in a more optimised way. Without this, we would not be able to apply this algorithm to real-world data. Note that this ...

Dynamic programming is a technique that can help you optimize the performance of your algorithms by breaking down complex problems into smaller subproblems and reusing the solutions of those ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...