MATLAB的SVM算法實現(xiàn)，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is
particularly good for since source code is relatively legible and
simple to modify. However, it is still reasonably fast if used
with the supplied optimiser. However, if you really want to speed
things up you should consider compiling the matrix composition
routine for H into a mex function. Then again if you really want
to speed things up you probably shouldn t be using matlab
anyway... Get hold of a dedicated C program once you understand
the algorithm.
LTV350QV-F09 is a TMR(Transmissive with Micro Reflective) type color active matrix
TFT (Thin Film Transistor) liquid crystal display (LCD) that uses amorphous silicon TFT
as a switching devices. This model is composed of a TFT-LCD module, a driver circuit
and a back-light unit and a touch screen panel(TSP).
The resolution of a 3.5" contains 320RGBx240 dots and can display up to 16.7M colors.
AODV-UU is an AODV (Ad hoc On-demand Distance Vector) routing protocol implementation from Uppsala University. Key features are recent draft compliance, stability, and the ability to use it in both real-world (Linux) and ns-2 simulations
* The keyboard is assumed to be a matrix having 4 rows by 6 columns. However, this code works for any
* matrix arrangements up to an 8 x 8 matrix. By using from one to three of the column inputs, the driver
* can support "SHIFT" keys. These keys are: SHIFT1, SHIFT2 and SHIFT3.
Initialize U=[uij] matrix, U(0)
At k-step: calculate the centers vectors C(k)=[cj] with U(k)
Update U(k) , U(k+1)
If || U(k+1) - U(k)||< then STOP otherwise return to step 2.
